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GetFreeCourses.Co-Udemy-2023 Become AWS SageMaker ML Engineer in 30 Days + ChatGPT

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种子名称： GetFreeCourses.Co-Udemy-2023 Become AWS SageMaker ML Engineer in 30 Days + ChatGPT
文件类型： 视频
文件数目： 444个文件
文件大小： 19.04 GB
收录时间： 2023-11-24 04:34
已经下载： 3次
资源热度： 236
最近下载： 2024-12-26 17:46

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GetFreeCourses Co-Udemy-2023 Become AWS SageMaker ML Engineer in 30 Days ChatGPT

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GetFreeCourses.Co-Udemy-2023 Become AWS SageMaker ML Engineer in 30 Days + ChatGPT.torrent
  • 01 - Introduction/001 Welcome To the Course!.mp430.21MB
  • 03 - Day 1 AWS Essentials Starter Pack - Part 1 (SignUp, Free Tier, Billing, & IAM)/001 Day Welcome Message.mp45.26MB
  • 03 - Day 1 AWS Essentials Starter Pack - Part 1 (SignUp, Free Tier, Billing, & IAM)/003 What is AWS & Cloud Computing Who Uses them What are their benefits.mp4150.15MB
  • 03 - Day 1 AWS Essentials Starter Pack - Part 1 (SignUp, Free Tier, Billing, & IAM)/004 AWS Signup and AWS Management Console Tour.mp462.7MB
  • 03 - Day 1 AWS Essentials Starter Pack - Part 1 (SignUp, Free Tier, Billing, & IAM)/005 Regions Vs. Availability Zones.mp455.56MB
  • 03 - Day 1 AWS Essentials Starter Pack - Part 1 (SignUp, Free Tier, Billing, & IAM)/006 What's Included in the AWS Free Tier.mp458.35MB
  • 03 - Day 1 AWS Essentials Starter Pack - Part 1 (SignUp, Free Tier, Billing, & IAM)/007 Billing Dashboard and Alarm Setup.mp451.91MB
  • 03 - Day 1 AWS Essentials Starter Pack - Part 1 (SignUp, Free Tier, Billing, & IAM)/008 Request Service Limit Increase.mp448.9MB
  • 03 - Day 1 AWS Essentials Starter Pack - Part 1 (SignUp, Free Tier, Billing, & IAM)/009 Identity and Access Management (IAM) & Multifactor Authentication (MFA).mp4152.46MB
  • 03 - Day 1 AWS Essentials Starter Pack - Part 1 (SignUp, Free Tier, Billing, & IAM)/010 Day End Message.mp41.96MB
  • 04 - Day 2 AWS Essentials Starter Pack - Part 2 (AI, ML, DL, DS, S3, & EC2)/001 Day Welcome Message.mp46.05MB
  • 04 - Day 2 AWS Essentials Starter Pack - Part 2 (AI, ML, DL, DS, S3, & EC2)/003 Artificial Intelligence (AI) Vs. Machine Learning (ML) Vs. Deep Learning (DL).mp4254.27MB
  • 04 - Day 2 AWS Essentials Starter Pack - Part 2 (AI, ML, DL, DS, S3, & EC2)/004 Machine Learning The Big Picture.mp4143.56MB
  • 04 - Day 2 AWS Essentials Starter Pack - Part 2 (AI, ML, DL, DS, S3, & EC2)/005 Key Ingredients to Build Machine Learning Models.mp4246.28MB
  • 04 - Day 2 AWS Essentials Starter Pack - Part 2 (AI, ML, DL, DS, S3, & EC2)/006 Key AIML Components in AWS.mp437.35MB
  • 04 - Day 2 AWS Essentials Starter Pack - Part 2 (AI, ML, DL, DS, S3, & EC2)/007 Simple Storage Service (S3) Deep Dive & Demo.mp443.02MB
  • 04 - Day 2 AWS Essentials Starter Pack - Part 2 (AI, ML, DL, DS, S3, & EC2)/008 Elastic Compute Cloud (EC2) Deep Dive & Demo.mp4109.53MB
  • 04 - Day 2 AWS Essentials Starter Pack - Part 2 (AI, ML, DL, DS, S3, & EC2)/009 Day End Message.mp41.71MB
  • 05 - Day 3 AWS Essentials Starter Pack - Part 3 (Amazon SageMaker)/001 Day Welcome Message.mp46.15MB
  • 05 - Day 3 AWS Essentials Starter Pack - Part 3 (Amazon SageMaker)/003 Intro to SageMaker.mp4170.88MB
  • 05 - Day 3 AWS Essentials Starter Pack - Part 3 (Amazon SageMaker)/004 SageMaker Demo 1 - Walkthrough & Create Notebook instance.mp474.67MB
  • 05 - Day 3 AWS Essentials Starter Pack - Part 3 (Amazon SageMaker)/005 SageMaker Demo 2 - Write your first code.mp442.72MB
  • 05 - Day 3 AWS Essentials Starter Pack - Part 3 (Amazon SageMaker)/006 SageMaker Demo 3 - AWS Marketplace (Yolo V3 Object Detector).mp474.04MB
  • 05 - Day 3 AWS Essentials Starter Pack - Part 3 (Amazon SageMaker)/007 SageMaker Demo 4 - SageMaker Studio 101.mp486.21MB
  • 05 - Day 3 AWS Essentials Starter Pack - Part 3 (Amazon SageMaker)/008 SageMaker Demo 5 - SageMaker Canvas 101.mp451.39MB
  • 05 - Day 3 AWS Essentials Starter Pack - Part 3 (Amazon SageMaker)/009 SageMaker Demo 6 - Upload data to S3.mp430.47MB
  • 05 - Day 3 AWS Essentials Starter Pack - Part 3 (Amazon SageMaker)/010 SageMaker Demo 7 - Train Machine Learning Model.mp440.49MB
  • 05 - Day 3 AWS Essentials Starter Pack - Part 3 (Amazon SageMaker)/011 Final Capstone Project Question.mp411.83MB
  • 05 - Day 3 AWS Essentials Starter Pack - Part 3 (Amazon SageMaker)/012 Final Capstone Project Solution.mp434.25MB
  • 05 - Day 3 AWS Essentials Starter Pack - Part 3 (Amazon SageMaker)/013 Shutdown Canvas.mp41.88MB
  • 05 - Day 3 AWS Essentials Starter Pack - Part 3 (Amazon SageMaker)/014 Day End Message.mp41.94MB
  • 07 - Day 4 Labeling Data With AWS SageMaker GroundTruth/001 Day Welcome Message.mp47.25MB
  • 07 - Day 4 Labeling Data With AWS SageMaker GroundTruth/003 Project Overview and AWS Groundtruth.mp454.38MB
  • 07 - Day 4 Labeling Data With AWS SageMaker GroundTruth/004 21st Century New Gold!.mp439.52MB
  • 07 - Day 4 Labeling Data With AWS SageMaker GroundTruth/005 Data Sources and Types.mp4210.49MB
  • 07 - Day 4 Labeling Data With AWS SageMaker GroundTruth/006 Why Do We Need Labeled Datasets.mp465.98MB
  • 07 - Day 4 Labeling Data With AWS SageMaker GroundTruth/007 Data Labeling Challenges and Applications.mp416.13MB
  • 07 - Day 4 Labeling Data With AWS SageMaker GroundTruth/008 Json Lines and Manifest Files 101.mp462.1MB
  • 07 - Day 4 Labeling Data With AWS SageMaker GroundTruth/009 AWS SageMaker GroundTruth Demo Part 1.mp499.39MB
  • 07 - Day 4 Labeling Data With AWS SageMaker GroundTruth/010 AWS SageMaker GroundTruth Demo Part 2.mp4102.68MB
  • 07 - Day 4 Labeling Data With AWS SageMaker GroundTruth/011 Final Capstone Project - Question.mp415.54MB
  • 07 - Day 4 Labeling Data With AWS SageMaker GroundTruth/012 Final Capstone Project - Solution.mp462.79MB
  • 07 - Day 4 Labeling Data With AWS SageMaker GroundTruth/013 Additional Topic GroundTruth Plus and Auto-Labeling.mp441.3MB
  • 07 - Day 4 Labeling Data With AWS SageMaker GroundTruth/014 Day End Message.mp42.33MB
  • 08 - Day 5 Labeling Text, Bounding Boxes, and Semantic Segmentation in GroundTruth/001 Day Welcome Message.mp45.69MB
  • 08 - Day 5 Labeling Text, Bounding Boxes, and Semantic Segmentation in GroundTruth/003 Introduction and Project Overview.mp425.9MB
  • 08 - Day 5 Labeling Text, Bounding Boxes, and Semantic Segmentation in GroundTruth/004 Labeling Text Data in SageMaker GroundTruth - Demo Part #1.mp453.39MB
  • 08 - Day 5 Labeling Text, Bounding Boxes, and Semantic Segmentation in GroundTruth/005 Labeling Text Data in SageMaker GroundTruth - Demo Part #2.mp411.42MB
  • 08 - Day 5 Labeling Text, Bounding Boxes, and Semantic Segmentation in GroundTruth/006 Labeling Text Data in SageMaker GroundTruth - Demo Part #3.mp431.24MB
  • 08 - Day 5 Labeling Text, Bounding Boxes, and Semantic Segmentation in GroundTruth/007 Semantic Segmentation in Groundtruth Demo #1.mp462.96MB
  • 08 - Day 5 Labeling Text, Bounding Boxes, and Semantic Segmentation in GroundTruth/008 Semantic Segmentation in Groundtruth Demo #2.mp454.63MB
  • 08 - Day 5 Labeling Text, Bounding Boxes, and Semantic Segmentation in GroundTruth/009 SageMaker GroundTruth Pricing.mp463.43MB
  • 08 - Day 5 Labeling Text, Bounding Boxes, and Semantic Segmentation in GroundTruth/010 Practice Opportunity - GroundTruth Pricing.mp428.53MB
  • 08 - Day 5 Labeling Text, Bounding Boxes, and Semantic Segmentation in GroundTruth/011 Final Capstone Project - Question.mp46.34MB
  • 08 - Day 5 Labeling Text, Bounding Boxes, and Semantic Segmentation in GroundTruth/012 Final Capstone Project - Solution.mp436.11MB
  • 08 - Day 5 Labeling Text, Bounding Boxes, and Semantic Segmentation in GroundTruth/013 Day End Message.mp41.94MB
  • 10 - Day 6 Exploratory Data Analysis (EDA) Part #1 - Crash Course on Pandas/001 Day Welcome Message.mp46.81MB
  • 10 - Day 6 Exploratory Data Analysis (EDA) Part #1 - Crash Course on Pandas/003 Exploratory Data Analysis (EDA) 101.mp498.57MB
  • 10 - Day 6 Exploratory Data Analysis (EDA) Part #1 - Crash Course on Pandas/004 Project Overview - EDA with Pandas.mp415.97MB
  • 10 - Day 6 Exploratory Data Analysis (EDA) Part #1 - Crash Course on Pandas/005 Jupyter Notebooks and SageMaker Studio Setup.mp486.44MB
  • 10 - Day 6 Exploratory Data Analysis (EDA) Part #1 - Crash Course on Pandas/006 Coding Task 1 - Define Pandas DataFrame.mp439.7MB
  • 10 - Day 6 Exploratory Data Analysis (EDA) Part #1 - Crash Course on Pandas/007 Practice Opportunity 1.mp449.17MB
  • 10 - Day 6 Exploratory Data Analysis (EDA) Part #1 - Crash Course on Pandas/008 Coding Task 2 - Load CSV and Statistical Analysis.mp420.73MB
  • 10 - Day 6 Exploratory Data Analysis (EDA) Part #1 - Crash Course on Pandas/009 Practice Opportunity 2.mp424.12MB
  • 10 - Day 6 Exploratory Data Analysis (EDA) Part #1 - Crash Course on Pandas/010 Coding Task 3 - SetReset Index in Pandas.mp427.24MB
  • 10 - Day 6 Exploratory Data Analysis (EDA) Part #1 - Crash Course on Pandas/011 Practice Opportunity 3.mp412.34MB
  • 10 - Day 6 Exploratory Data Analysis (EDA) Part #1 - Crash Course on Pandas/012 Final Capstone Project Question.mp429.19MB
  • 10 - Day 6 Exploratory Data Analysis (EDA) Part #1 - Crash Course on Pandas/013 Final Capstone Project Solution.mp445.59MB
  • 10 - Day 6 Exploratory Data Analysis (EDA) Part #1 - Crash Course on Pandas/014 Day End Message.mp41.11MB
  • 11 - Day 7 Exploratory Data Analysis (EDA) - Part #2 - Crash Course on Pandas/001 Day Welcome Message.mp43.49MB
  • 11 - Day 7 Exploratory Data Analysis (EDA) - Part #2 - Crash Course on Pandas/003 Project Overview and Key Learning Outcomes.mp48.15MB
  • 11 - Day 7 Exploratory Data Analysis (EDA) - Part #2 - Crash Course on Pandas/004 Coding Task 1 - Import Datasets.mp433.3MB
  • 11 - Day 7 Exploratory Data Analysis (EDA) - Part #2 - Crash Course on Pandas/005 Practice Opportunity 1.mp459.95MB
  • 11 - Day 7 Exploratory Data Analysis (EDA) - Part #2 - Crash Course on Pandas/006 Coding Task 2 - Access Elements in Pandas DataFrame.mp457.95MB
  • 11 - Day 7 Exploratory Data Analysis (EDA) - Part #2 - Crash Course on Pandas/007 Practice Opportunity 2.mp412.11MB
  • 11 - Day 7 Exploratory Data Analysis (EDA) - Part #2 - Crash Course on Pandas/008 Coding Task 3 - Delete and Add Columns.mp428.72MB
  • 11 - Day 7 Exploratory Data Analysis (EDA) - Part #2 - Crash Course on Pandas/009 Practice Opportunity 3.mp446.66MB
  • 11 - Day 7 Exploratory Data Analysis (EDA) - Part #2 - Crash Course on Pandas/010 Coding Task 4 - Label-based Indexing with .Loc().mp441.27MB
  • 11 - Day 7 Exploratory Data Analysis (EDA) - Part #2 - Crash Course on Pandas/011 Practice Opportunity 4.mp428.93MB
  • 11 - Day 7 Exploratory Data Analysis (EDA) - Part #2 - Crash Course on Pandas/012 Coding Task 5 - Integer-based Indexing with .iLoc().mp430.02MB
  • 11 - Day 7 Exploratory Data Analysis (EDA) - Part #2 - Crash Course on Pandas/013 Practice Opportunity 5.mp425.25MB
  • 11 - Day 7 Exploratory Data Analysis (EDA) - Part #2 - Crash Course on Pandas/014 Coding Task 6 - Broadcasting Operation.mp422.5MB
  • 11 - Day 7 Exploratory Data Analysis (EDA) - Part #2 - Crash Course on Pandas/015 Practice Opportunity 6.mp420.68MB
  • 11 - Day 7 Exploratory Data Analysis (EDA) - Part #2 - Crash Course on Pandas/016 Coding Task 7 - Sorting Pandas DataFrames.mp423.42MB
  • 11 - Day 7 Exploratory Data Analysis (EDA) - Part #2 - Crash Course on Pandas/017 Practice Opportunity 7.mp424.1MB
  • 11 - Day 7 Exploratory Data Analysis (EDA) - Part #2 - Crash Course on Pandas/018 Day End Message.mp41.36MB
  • 12 - Day 8 Exploratory Data Analysis (EDA) - Part #3 - Crash Course on Pandas/001 Day Welcome Message.mp43.74MB
  • 12 - Day 8 Exploratory Data Analysis (EDA) - Part #3 - Crash Course on Pandas/003 Project Overview and Key Learning Outcomes.mp425.91MB
  • 12 - Day 8 Exploratory Data Analysis (EDA) - Part #3 - Crash Course on Pandas/004 Coding Task 1 - Import and Explore Dataset.mp444.13MB
  • 12 - Day 8 Exploratory Data Analysis (EDA) - Part #3 - Crash Course on Pandas/005 Practice Opportunity 1.mp420.47MB
  • 12 - Day 8 Exploratory Data Analysis (EDA) - Part #3 - Crash Course on Pandas/006 Coding Task 2 - Deal with Missing Dataset.mp443.68MB
  • 12 - Day 8 Exploratory Data Analysis (EDA) - Part #3 - Crash Course on Pandas/007 Practice Opportunity 2.mp418MB
  • 12 - Day 8 Exploratory Data Analysis (EDA) - Part #3 - Crash Course on Pandas/008 Coding Task 3 - Change Pandas DataFrame datatypes.mp418.54MB
  • 12 - Day 8 Exploratory Data Analysis (EDA) - Part #3 - Crash Course on Pandas/009 Practice Opportunity 3.mp412.07MB
  • 12 - Day 8 Exploratory Data Analysis (EDA) - Part #3 - Crash Course on Pandas/010 Coding Task 4 - Pandas and Functions.mp442.91MB
  • 12 - Day 8 Exploratory Data Analysis (EDA) - Part #3 - Crash Course on Pandas/011 Practice Opportunity 4.mp424.6MB
  • 12 - Day 8 Exploratory Data Analysis (EDA) - Part #3 - Crash Course on Pandas/012 Coding Task 5 - Pandas Operations and Filtering.mp452.41MB
  • 12 - Day 8 Exploratory Data Analysis (EDA) - Part #3 - Crash Course on Pandas/013 Practice Opportunity 5.mp423.45MB
  • 12 - Day 8 Exploratory Data Analysis (EDA) - Part #3 - Crash Course on Pandas/014 Coding Task 6 - Perform EDA on Both Classes.mp424.27MB
  • 12 - Day 8 Exploratory Data Analysis (EDA) - Part #3 - Crash Course on Pandas/015 Practice Opportunity 6.mp435.26MB
  • 12 - Day 8 Exploratory Data Analysis (EDA) - Part #3 - Crash Course on Pandas/016 Coding Task 7 - Correlations and Histograms.mp479.09MB
  • 12 - Day 8 Exploratory Data Analysis (EDA) - Part #3 - Crash Course on Pandas/017 Practice Opportunity 7.mp435.94MB
  • 12 - Day 8 Exploratory Data Analysis (EDA) - Part #3 - Crash Course on Pandas/018 Final Capstone Projects - Questions.mp415.69MB
  • 12 - Day 8 Exploratory Data Analysis (EDA) - Part #3 - Crash Course on Pandas/019 Final Capstone Projects - Solutions.mp461.57MB
  • 12 - Day 8 Exploratory Data Analysis (EDA) - Part #3 - Crash Course on Pandas/020 Day End Message.mp41.55MB
  • 13 - Day 9 Exploratory Data Analysis (EDA) - Part #4 - Data Visualization/001 Day Welcome Message.mp45.27MB
  • 13 - Day 9 Exploratory Data Analysis (EDA) - Part #4 - Data Visualization/003 Project Overview.mp433.63MB
  • 13 - Day 9 Exploratory Data Analysis (EDA) - Part #4 - Data Visualization/004 Data Visualization 101.mp4122.16MB
  • 13 - Day 9 Exploratory Data Analysis (EDA) - Part #4 - Data Visualization/005 Matplotlib Overview.mp442.18MB
  • 13 - Day 9 Exploratory Data Analysis (EDA) - Part #4 - Data Visualization/006 Seaborn Overview.mp473.66MB
  • 13 - Day 9 Exploratory Data Analysis (EDA) - Part #4 - Data Visualization/007 Coding Task 1 - Plot line plot in Matplotlib.mp467.07MB
  • 13 - Day 9 Exploratory Data Analysis (EDA) - Part #4 - Data Visualization/008 Practice Opportunity 1.mp416.91MB
  • 13 - Day 9 Exploratory Data Analysis (EDA) - Part #4 - Data Visualization/009 Coding Task 2 - Plot Multiple Line Plots in Matplotlib.mp411.67MB
  • 13 - Day 9 Exploratory Data Analysis (EDA) - Part #4 - Data Visualization/010 Practice Opportunity 2.mp411.64MB
  • 13 - Day 9 Exploratory Data Analysis (EDA) - Part #4 - Data Visualization/011 Coding Task 3 - Plot Subplots in Matplotlib.mp413.63MB
  • 13 - Day 9 Exploratory Data Analysis (EDA) - Part #4 - Data Visualization/012 Practice Opportunity 3.mp420.36MB
  • 13 - Day 9 Exploratory Data Analysis (EDA) - Part #4 - Data Visualization/013 Coding Task 4 - Plot Scatterplots in Matplotlib.mp431.29MB
  • 13 - Day 9 Exploratory Data Analysis (EDA) - Part #4 - Data Visualization/014 Practice Opportunity 4.mp47.61MB
  • 13 - Day 9 Exploratory Data Analysis (EDA) - Part #4 - Data Visualization/015 Coding Task 5 - Plot Pie Charts in Matplotlib.mp426.16MB
  • 13 - Day 9 Exploratory Data Analysis (EDA) - Part #4 - Data Visualization/016 Practice Opportunity 5.mp447.51MB
  • 13 - Day 9 Exploratory Data Analysis (EDA) - Part #4 - Data Visualization/017 Coding Task 6 - Plot Histograms in Matplotlib.mp423.42MB
  • 13 - Day 9 Exploratory Data Analysis (EDA) - Part #4 - Data Visualization/018 Practice Opportunity 6.mp414.79MB
  • 13 - Day 9 Exploratory Data Analysis (EDA) - Part #4 - Data Visualization/019 Coding Task 7 - Plot Countplot and Scatterplot in Seaborn.mp457.71MB
  • 13 - Day 9 Exploratory Data Analysis (EDA) - Part #4 - Data Visualization/020 Practice Opportunity 7.mp46.11MB
  • 13 - Day 9 Exploratory Data Analysis (EDA) - Part #4 - Data Visualization/021 Coding Task 8 - Plot Correlation Heatmaps, Displot and Pairplot.mp486.66MB
  • 13 - Day 9 Exploratory Data Analysis (EDA) - Part #4 - Data Visualization/022 Practice Opportunity 8.mp449.39MB
  • 13 - Day 9 Exploratory Data Analysis (EDA) - Part #4 - Data Visualization/023 Final End of Day Capstone Project Questions.mp440.67MB
  • 13 - Day 9 Exploratory Data Analysis (EDA) - Part #4 - Data Visualization/024 Final End of Day Capstone Project Solutions.mp4110.29MB
  • 13 - Day 9 Exploratory Data Analysis (EDA) - Part #4 - Data Visualization/025 Day End Message.mp4998.21KB
  • 14 - Day 10 Amazon SageMaker Data Wrangler/001 Day Welcome Message.mp46.5MB
  • 14 - Day 10 Amazon SageMaker Data Wrangler/003 Project Overview.mp412.44MB
  • 14 - Day 10 Amazon SageMaker Data Wrangler/004 Data Wrangler 101.mp4124.78MB
  • 14 - Day 10 Amazon SageMaker Data Wrangler/005 Feature Engineering 101.mp439.4MB
  • 14 - Day 10 Amazon SageMaker Data Wrangler/006 One-Hot Encoding 101.mp431.53MB
  • 14 - Day 10 Amazon SageMaker Data Wrangler/007 Normalization vs. Standardization (Feature Scaling in Machine Learning).mp4244.74MB
  • 14 - Day 10 Amazon SageMaker Data Wrangler/008 Data Wrangler Demo 1 - Import Data From S3.mp448.36MB
  • 14 - Day 10 Amazon SageMaker Data Wrangler/009 Data Wrangler Demo 2 - Change Datatypes & Generate Summary Table.mp447.07MB
  • 14 - Day 10 Amazon SageMaker Data Wrangler/010 Data Wrangler Demo 3 - Data Visualization.mp429.86MB
  • 14 - Day 10 Amazon SageMaker Data Wrangler/011 Data Wrangler Demo 4 - Bias Report, Remove Duplicates & Feature Importance.mp449.92MB
  • 14 - Day 10 Amazon SageMaker Data Wrangler/012 Data Wrangler Demo 5 - Data Impute, Handle Missing and 1-Hot Encoding.mp460.33MB
  • 14 - Day 10 Amazon SageMaker Data Wrangler/013 Data Wrangler Demo 6 - Perform Custom and Feature Scaling.mp477.34MB
  • 14 - Day 10 Amazon SageMaker Data Wrangler/014 Data Wrangler Demo 7 - Export Dataflow.mp434.01MB
  • 14 - Day 10 Amazon SageMaker Data Wrangler/015 Data Wrangler Demo 8 - Shutdown Resources.mp413.17MB
  • 14 - Day 10 Amazon SageMaker Data Wrangler/016 Final Capstone Project - Questions.mp48.51MB
  • 14 - Day 10 Amazon SageMaker Data Wrangler/017 Final Capstone Project - Solutions.mp4115.94MB
  • 14 - Day 10 Amazon SageMaker Data Wrangler/018 Day End Message.mp41.2MB
  • 16 - Day 11 Simple Linear Regression in Scikit-Learn/001 Day Welcome Message.mp46.34MB
  • 16 - Day 11 Simple Linear Regression in Scikit-Learn/003 Project Overview.mp468.31MB
  • 16 - Day 11 Simple Linear Regression in Scikit-Learn/004 Simple Linear Regression 101.mp420.61MB
  • 16 - Day 11 Simple Linear Regression in Scikit-Learn/005 Least Sum of Squares.mp454.28MB
  • 16 - Day 11 Simple Linear Regression in Scikit-Learn/006 Scikit-Learn Library Overview.mp4100.23MB
  • 16 - Day 11 Simple Linear Regression in Scikit-Learn/007 Coding Task #1 - Import Libraries and Datasets.mp461.36MB
  • 16 - Day 11 Simple Linear Regression in Scikit-Learn/008 Practice Opportunity #1.mp413.12MB
  • 16 - Day 11 Simple Linear Regression in Scikit-Learn/009 Coding Task #2 - Explore the Data.mp410.65MB
  • 16 - Day 11 Simple Linear Regression in Scikit-Learn/010 Practice Opportunity #2.mp425.79MB
  • 16 - Day 11 Simple Linear Regression in Scikit-Learn/011 Coding Task #3 - Perform Data Visualization.mp450.38MB
  • 16 - Day 11 Simple Linear Regression in Scikit-Learn/012 Practice Opportunity #3.mp411.82MB
  • 16 - Day 11 Simple Linear Regression in Scikit-Learn/013 Coding Task #4 - Prepare the Data Before Model Training.mp439.76MB
  • 16 - Day 11 Simple Linear Regression in Scikit-Learn/014 Practice Opportunity #4.mp413.7MB
  • 16 - Day 11 Simple Linear Regression in Scikit-Learn/015 Train a Simple Linear Regression Model in SK-Learn.mp424.88MB
  • 16 - Day 11 Simple Linear Regression in Scikit-Learn/016 Practice Opportunity #5.mp410.31MB
  • 16 - Day 11 Simple Linear Regression in Scikit-Learn/017 Evaluate Trained Model Performance.mp422.13MB
  • 16 - Day 11 Simple Linear Regression in Scikit-Learn/018 Practice Opportunity #6.mp436.69MB
  • 16 - Day 11 Simple Linear Regression in Scikit-Learn/019 Final Capstone Project - Questions.mp413.92MB
  • 16 - Day 11 Simple Linear Regression in Scikit-Learn/020 Final Capstone Project - Solution.mp447.52MB
  • 16 - Day 11 Simple Linear Regression in Scikit-Learn/021 Day End Message.mp42.23MB
  • 17 - Day 12 Regression Using AWS SageMaker Linear Learner/001 Day Welcome Message.mp416.55MB
  • 17 - Day 12 Regression Using AWS SageMaker Linear Learner/003 Overview of AWS SageMaker Built-in Algorithms.mp447.4MB
  • 17 - Day 12 Regression Using AWS SageMaker Linear Learner/004 AWS SageMaker Linear Learner Algorithm Overview.mp4179.53MB
  • 17 - Day 12 Regression Using AWS SageMaker Linear Learner/005 Coding Task #1 - Problem Overview.mp438.3MB
  • 17 - Day 12 Regression Using AWS SageMaker Linear Learner/006 Practice Opportunity #1.mp422.27MB
  • 17 - Day 12 Regression Using AWS SageMaker Linear Learner/007 Coding Task #2 - Import Libraries and Datasets.mp456.51MB
  • 17 - Day 12 Regression Using AWS SageMaker Linear Learner/008 Practice Opportunity #2.mp452.6MB
  • 17 - Day 12 Regression Using AWS SageMaker Linear Learner/009 Coding Task #3 - Train a Linear Learner Model in SageMaker.mp4230.64MB
  • 17 - Day 12 Regression Using AWS SageMaker Linear Learner/010 Practice Opportunity #3.mp4131.03MB
  • 17 - Day 12 Regression Using AWS SageMaker Linear Learner/011 Coding Task #4 - Deploy Endpoint.mp499.1MB
  • 17 - Day 12 Regression Using AWS SageMaker Linear Learner/012 Practice Opportunity #4.mp459.83MB
  • 17 - Day 12 Regression Using AWS SageMaker Linear Learner/013 Final Capstone Project Questions.mp413.44MB
  • 17 - Day 12 Regression Using AWS SageMaker Linear Learner/014 Final Capstone Project Solution.mp490.99MB
  • 17 - Day 12 Regression Using AWS SageMaker Linear Learner/015 Day End Message.mp41.37MB
  • 18 - Day 13 Multiple Linear Regression in Scikit-Learn/001 Day Welcome Message.mp45.31MB
  • 18 - Day 13 Multiple Linear Regression in Scikit-Learn/003 Project Overview.mp457.37MB
  • 18 - Day 13 Multiple Linear Regression in Scikit-Learn/004 Success Stories Price Prediction with AIML.mp463.48MB
  • 18 - Day 13 Multiple Linear Regression in Scikit-Learn/005 Multiple Linear Regression 101.mp431.33MB
  • 18 - Day 13 Multiple Linear Regression in Scikit-Learn/006 Regression Metrics - Part #1.mp447.95MB
  • 18 - Day 13 Multiple Linear Regression in Scikit-Learn/007 Regression Metrics - Part #2.mp461.64MB
  • 18 - Day 13 Multiple Linear Regression in Scikit-Learn/008 SageMaker Studio Domain Setup.mp412.39MB
  • 18 - Day 13 Multiple Linear Regression in Scikit-Learn/009 Coding Task #1 - Import Key LibrariesDatasets.mp449.03MB
  • 18 - Day 13 Multiple Linear Regression in Scikit-Learn/010 Practice Opportunity #1.mp422.76MB
  • 18 - Day 13 Multiple Linear Regression in Scikit-Learn/011 Coding Task #2 - EDA and Data Visualization.mp458.05MB
  • 18 - Day 13 Multiple Linear Regression in Scikit-Learn/012 Practice Opportunity #2.mp431.62MB
  • 18 - Day 13 Multiple Linear Regression in Scikit-Learn/013 Coding Task #3 - EDA and Data Visualization 2.mp453.35MB
  • 18 - Day 13 Multiple Linear Regression in Scikit-Learn/014 Practice Opportunity #3.mp428.27MB
  • 18 - Day 13 Multiple Linear Regression in Scikit-Learn/015 Coding Task #4 - Prepare the Data For Model Training.mp421.43MB
  • 18 - Day 13 Multiple Linear Regression in Scikit-Learn/016 Practice Opportunity #4.mp419.86MB
  • 18 - Day 13 Multiple Linear Regression in Scikit-Learn/017 Coding Task #5 - Train ML Model in Scikit-Learn.mp426.81MB
  • 18 - Day 13 Multiple Linear Regression in Scikit-Learn/018 Practice Opportunity #5.mp445.18MB
  • 18 - Day 13 Multiple Linear Regression in Scikit-Learn/019 Capstone Project Questions.mp423.31MB
  • 18 - Day 13 Multiple Linear Regression in Scikit-Learn/020 Capstone Project Solutions.mp477.92MB
  • 18 - Day 13 Multiple Linear Regression in Scikit-Learn/021 Day End Message.mp42.14MB
  • 19 - Day 14 Multiple Linear Regression with AWS SageMaker Linear Learner/001 Day Welcome Message.mp44.71MB
  • 19 - Day 14 Multiple Linear Regression with AWS SageMaker Linear Learner/003 Project Card [Skip If Familiar].mp411.52MB
  • 19 - Day 14 Multiple Linear Regression with AWS SageMaker Linear Learner/004 Coding Task #1 - Notebook Walkthrough Project Overview.mp421.71MB
  • 19 - Day 14 Multiple Linear Regression with AWS SageMaker Linear Learner/005 Coding Task #2 - Perform EDA and Visualization.mp495.7MB
  • 19 - Day 14 Multiple Linear Regression with AWS SageMaker Linear Learner/006 Coding Task #3 - Train a Linear Learner Model in SageMaker (Multiple Regression).mp4125.62MB
  • 19 - Day 14 Multiple Linear Regression with AWS SageMaker Linear Learner/007 Practice Opportunity #1.mp454.04MB
  • 19 - Day 14 Multiple Linear Regression with AWS SageMaker Linear Learner/008 Coding Task #4 - Deploy an Endpoint.mp459.59MB
  • 19 - Day 14 Multiple Linear Regression with AWS SageMaker Linear Learner/009 Final Capstone Project - Questions.mp45.07MB
  • 19 - Day 14 Multiple Linear Regression with AWS SageMaker Linear Learner/010 Final Capstone Project - Solutions.mp426.15MB
  • 19 - Day 14 Multiple Linear Regression with AWS SageMaker Linear Learner/011 Day End Message.mp4717.35KB
  • 20 - Day 15 Launch ML Training Job from AWS Management Console (Regression)/001 Day Welcome Message.mp48.19MB
  • 20 - Day 15 Launch ML Training Job from AWS Management Console (Regression)/003 Project Overview and Project Card.mp438.19MB
  • 20 - Day 15 Launch ML Training Job from AWS Management Console (Regression)/004 The Rise of Machine Learning in Higher Education.mp436.89MB
  • 20 - Day 15 Launch ML Training Job from AWS Management Console (Regression)/005 Simple and Multiple Linear Regression [Recap].mp426.9MB
  • 20 - Day 15 Launch ML Training Job from AWS Management Console (Regression)/006 Practice Opportunity 1.mp417.55MB
  • 20 - Day 15 Launch ML Training Job from AWS Management Console (Regression)/007 Demo Launch a Training Job in AWS SageMaker Console.mp4101.57MB
  • 20 - Day 15 Launch ML Training Job from AWS Management Console (Regression)/008 Demo Analyze Training Job Outputs and Metrics.mp454.33MB
  • 20 - Day 15 Launch ML Training Job from AWS Management Console (Regression)/009 Demo Deploy an Endpoint.mp467.08MB
  • 20 - Day 15 Launch ML Training Job from AWS Management Console (Regression)/010 Final End-of-Day Capstone Project Question.mp423.2MB
  • 20 - Day 15 Launch ML Training Job from AWS Management Console (Regression)/011 Final End-of-Day Capstone Project Solution.mp4103.83MB
  • 20 - Day 15 Launch ML Training Job from AWS Management Console (Regression)/012 Day End Message.mp41.29MB
  • 21 - Day 16 XG-Boost Regression in Scikit-Learn/001 Day Welcome Message.mp45.38MB
  • 21 - Day 16 XG-Boost Regression in Scikit-Learn/003 Project Overview and Card.mp423.62MB
  • 21 - Day 16 XG-Boost Regression in Scikit-Learn/004 Introduction to XG-Boost Algorithm.mp461.14MB
  • 21 - Day 16 XG-Boost Regression in Scikit-Learn/005 What is Boosting.mp4104.38MB
  • 21 - Day 16 XG-Boost Regression in Scikit-Learn/006 Ensemble Learning.mp481.91MB
  • 21 - Day 16 XG-Boost Regression in Scikit-Learn/007 XG-Boost Algorithm Deep Dive (with examples).mp4374.13MB
  • 21 - Day 16 XG-Boost Regression in Scikit-Learn/008 Coding Task 1 - Project Overview and Import data.mp417.18MB
  • 21 - Day 16 XG-Boost Regression in Scikit-Learn/009 Practice Opportunity 1.mp48.59MB
  • 21 - Day 16 XG-Boost Regression in Scikit-Learn/010 Coding Task 2 - Perform EDA and Visualization.mp466.99MB
  • 21 - Day 16 XG-Boost Regression in Scikit-Learn/011 Practice Opportunity 2.mp417.8MB
  • 21 - Day 16 XG-Boost Regression in Scikit-Learn/012 Coding Task 3 - Prepare the Data for Model Training.mp49.06MB
  • 21 - Day 16 XG-Boost Regression in Scikit-Learn/013 Practice Opportunity 3.mp413.32MB
  • 21 - Day 16 XG-Boost Regression in Scikit-Learn/014 Coding Task 4 - Train and Test XG-Boost Algorithm.mp421.06MB
  • 21 - Day 16 XG-Boost Regression in Scikit-Learn/015 Practice Opportunity 4.mp49.98MB
  • 21 - Day 16 XG-Boost Regression in Scikit-Learn/016 Final Capstone Project Question.mp45.2MB
  • 21 - Day 16 XG-Boost Regression in Scikit-Learn/017 Final Capstone Project Solution.mp4182.72MB
  • 21 - Day 16 XG-Boost Regression in Scikit-Learn/018 Day End Message.mp41.18MB
  • 22 - Day 17 Built-in SageMaker XG-Boost Algorithm/001 Day Welcome Message.mp43.95MB
  • 22 - Day 17 Built-in SageMaker XG-Boost Algorithm/003 Project Overview.mp416.43MB
  • 22 - Day 17 Built-in SageMaker XG-Boost Algorithm/004 SageMaker Built-in XG-Boost Algorithm.mp4191.48MB
  • 22 - Day 17 Built-in SageMaker XG-Boost Algorithm/005 Coding Task 1 - Import datalibraries and Perform EDA.mp445.58MB
  • 22 - Day 17 Built-in SageMaker XG-Boost Algorithm/006 Coding Task 2 - Train SageMaker Built-in XG-Boost Algorithm - Part 1.mp480.49MB
  • 22 - Day 17 Built-in SageMaker XG-Boost Algorithm/007 Coding Task 3 - Train SageMaker Built-in XG-Boost Algorithm - Part 2.mp462.65MB
  • 22 - Day 17 Built-in SageMaker XG-Boost Algorithm/008 Coding Task 4 - Deploy Trained SageMaker Built-in XG-Boost Algorithm.mp4113.83MB
  • 22 - Day 17 Built-in SageMaker XG-Boost Algorithm/009 Practice Opportunity 1.mp445.85MB
  • 22 - Day 17 Built-in SageMaker XG-Boost Algorithm/010 Final Capstone Project Question.mp46.91MB
  • 22 - Day 17 Built-in SageMaker XG-Boost Algorithm/011 Final Capstone Project Solution - Part 1.mp470.16MB
  • 22 - Day 17 Built-in SageMaker XG-Boost Algorithm/012 Final Capstone Project Solution - Part 2.mp482.86MB
  • 22 - Day 17 Built-in SageMaker XG-Boost Algorithm/013 Day End Message.mp42.43MB
  • 23 - Day 18 AWS SageMaker JumpStart/001 Day Welcome Message.mp44.27MB
  • 23 - Day 18 AWS SageMaker JumpStart/003 Project Introduction and Key Learning Outcomes.mp411.62MB
  • 23 - Day 18 AWS SageMaker JumpStart/004 AWS SageMaker JumpStart Overview.mp441.02MB
  • 23 - Day 18 AWS SageMaker JumpStart/005 Data Split for SageMaker JumpStart.mp469.48MB
  • 23 - Day 18 AWS SageMaker JumpStart/006 JumpStart Demo Part 1 - Data Upload.mp471.19MB
  • 23 - Day 18 AWS SageMaker JumpStart/007 JumpStart Demo Part 2 - Train the Model.mp416.69MB
  • 23 - Day 18 AWS SageMaker JumpStart/008 JumpStart Demo Part 3 - Deploy an Endpoint.mp412.51MB
  • 23 - Day 18 AWS SageMaker JumpStart/009 JumpStart Demo Part 4 - Invoke Endpoint.mp486.33MB
  • 23 - Day 18 AWS SageMaker JumpStart/010 Final Capstone Project Question.mp420.23MB
  • 23 - Day 18 AWS SageMaker JumpStart/011 Final Capstone Project Solution Part 1.mp451.13MB
  • 23 - Day 18 AWS SageMaker JumpStart/012 Final Capstone Project Solution Part 2.mp454.38MB
  • 23 - Day 18 AWS SageMaker JumpStart/013 Day End Message.mp41.34MB
  • 25 - Day 19 Hyperparameters Optimization (GridSearch, Bayesian & Random)/001 Day Welcome Message.mp46.84MB
  • 25 - Day 19 Hyperparameters Optimization (GridSearch, Bayesian & Random)/003 Project Overview and Card.mp470.93MB
  • 25 - Day 19 Hyperparameters Optimization (GridSearch, Bayesian & Random)/004 Hyperparameters 101.mp4121.66MB
  • 25 - Day 19 Hyperparameters Optimization (GridSearch, Bayesian & Random)/005 Hyperparameters Optimization Strategies.mp482.3MB
  • 25 - Day 19 Hyperparameters Optimization (GridSearch, Bayesian & Random)/006 Bias Variance Tradeoff.mp4205.65MB
  • 25 - Day 19 Hyperparameters Optimization (GridSearch, Bayesian & Random)/007 L2 Regularization (Ridge Regression).mp4127.3MB
  • 25 - Day 19 Hyperparameters Optimization (GridSearch, Bayesian & Random)/008 L1 Regularization (Lasso Regression).mp495.33MB
  • 25 - Day 19 Hyperparameters Optimization (GridSearch, Bayesian & Random)/009 Coding Task 1 - Import Libraries and Datasets.mp418.45MB
  • 25 - Day 19 Hyperparameters Optimization (GridSearch, Bayesian & Random)/010 Practice Opportunity 1.mp415.46MB
  • 25 - Day 19 Hyperparameters Optimization (GridSearch, Bayesian & Random)/011 Coding Task 2 - Perform Data Cleaning.mp459.08MB
  • 25 - Day 19 Hyperparameters Optimization (GridSearch, Bayesian & Random)/012 Coding Task 3 - Perform Data Visualization.mp450.89MB
  • 25 - Day 19 Hyperparameters Optimization (GridSearch, Bayesian & Random)/013 Practice Opportunity 2.mp415.85MB
  • 25 - Day 19 Hyperparameters Optimization (GridSearch, Bayesian & Random)/014 Coding Task 4 - Split the Data into TrainingTesting.mp437.73MB
  • 25 - Day 19 Hyperparameters Optimization (GridSearch, Bayesian & Random)/015 Coding Task 5 - Train an XG-Boost Algorithm in SKLearn.mp424.87MB
  • 25 - Day 19 Hyperparameters Optimization (GridSearch, Bayesian & Random)/016 Practice Opportunity 3.mp47.72MB
  • 25 - Day 19 Hyperparameters Optimization (GridSearch, Bayesian & Random)/017 Coding Task 6 - Hyperparameters Optimization Using GridSearchCV.mp455.51MB
  • 25 - Day 19 Hyperparameters Optimization (GridSearch, Bayesian & Random)/018 Practice Opportunity 4.mp436.05MB
  • 25 - Day 19 Hyperparameters Optimization (GridSearch, Bayesian & Random)/019 Coding Task 7 - Hyperparameters Using Random Search.mp419.8MB
  • 25 - Day 19 Hyperparameters Optimization (GridSearch, Bayesian & Random)/020 Coding Task 8 - Hyperparameters Optimization Using Bayesian Optimizers.mp433.18MB
  • 25 - Day 19 Hyperparameters Optimization (GridSearch, Bayesian & Random)/021 Final Capstone Project Question.mp46.48MB
  • 25 - Day 19 Hyperparameters Optimization (GridSearch, Bayesian & Random)/022 Final Capstone Project Solution.mp448.36MB
  • 25 - Day 19 Hyperparameters Optimization (GridSearch, Bayesian & Random)/023 Day End Message.mp42.03MB
  • 26 - Day 20 Hyperparameters Optimization in SageMaker/001 Day Welcome Message.mp44.68MB
  • 26 - Day 20 Hyperparameters Optimization in SageMaker/003 Project Overview.mp446.72MB
  • 26 - Day 20 Hyperparameters Optimization in SageMaker/004 Coding Task 1 - Import and Clean Datasets.mp428.99MB
  • 26 - Day 20 Hyperparameters Optimization in SageMaker/005 Coding Task 2 - Visualize Data.mp441.62MB
  • 26 - Day 20 Hyperparameters Optimization in SageMaker/006 Coding Task 3 - Train an XG-Boost Algo (without Hyperparameters Optimization).mp4104.86MB
  • 26 - Day 20 Hyperparameters Optimization in SageMaker/007 Coding Task 4 - DeployTest XG-Boost Algo (without Hyperparameters Optimization).mp449.78MB
  • 26 - Day 20 Hyperparameters Optimization in SageMaker/008 Coding Task 5 - Perform HyperParameters Optimization in SageMaker.mp482.04MB
  • 26 - Day 20 Hyperparameters Optimization in SageMaker/009 Deploy Best Model and Assess its Performance.mp461.21MB
  • 26 - Day 20 Hyperparameters Optimization in SageMaker/010 Final Capstone Project Question.mp419.64MB
  • 26 - Day 20 Hyperparameters Optimization in SageMaker/011 Final Capstone Project Solution Part 1.mp484.36MB
  • 26 - Day 20 Hyperparameters Optimization in SageMaker/012 Final Capstone Project Solution Part 2.mp437.85MB
  • 26 - Day 20 Hyperparameters Optimization in SageMaker/013 Final Capstone Project Solution Part 3.mp425.12MB
  • 26 - Day 20 Hyperparameters Optimization in SageMaker/014 Final Capstone Project Solution Part 4.mp436.11MB
  • 26 - Day 20 Hyperparameters Optimization in SageMaker/015 Day End Message.mp42.08MB
  • 28 - Day 21 Classifiers - SVM, KNN, Logistic Regression, Naive Bayes, Random Forest/001 Day Welcome Message.mp47.68MB
  • 28 - Day 21 Classifiers - SVM, KNN, Logistic Regression, Naive Bayes, Random Forest/003 Project Overview.mp416.53MB
  • 28 - Day 21 Classifiers - SVM, KNN, Logistic Regression, Naive Bayes, Random Forest/004 Coding Task 1 - Import Libraries and Datasets.mp420.31MB
  • 28 - Day 21 Classifiers - SVM, KNN, Logistic Regression, Naive Bayes, Random Forest/005 Practice Opportunity 1.mp414.12MB
  • 28 - Day 21 Classifiers - SVM, KNN, Logistic Regression, Naive Bayes, Random Forest/006 Coding Task 2 - Perform Data Visualization.mp465.88MB
  • 28 - Day 21 Classifiers - SVM, KNN, Logistic Regression, Naive Bayes, Random Forest/007 Practice Opportunity 2.mp427.93MB
  • 28 - Day 21 Classifiers - SVM, KNN, Logistic Regression, Naive Bayes, Random Forest/008 Coding Task 3 - Plot Feature Importance.mp429.86MB
  • 28 - Day 21 Classifiers - SVM, KNN, Logistic Regression, Naive Bayes, Random Forest/009 Coding Task 4 - Logistic Regression.mp426.27MB
  • 28 - Day 21 Classifiers - SVM, KNN, Logistic Regression, Naive Bayes, Random Forest/010 Classifier Models Key Performance Indicators (KPIs) & Metrics.mp463.51MB
  • 28 - Day 21 Classifiers - SVM, KNN, Logistic Regression, Naive Bayes, Random Forest/011 Practice Opportunity 3.mp420.02MB
  • 28 - Day 21 Classifiers - SVM, KNN, Logistic Regression, Naive Bayes, Random Forest/012 Coding Task 5 - Support Vector Machines (SVM).mp450.64MB
  • 28 - Day 21 Classifiers - SVM, KNN, Logistic Regression, Naive Bayes, Random Forest/013 Coding Task 6 - Random Forest Classifier Model.mp441.19MB
  • 28 - Day 21 Classifiers - SVM, KNN, Logistic Regression, Naive Bayes, Random Forest/014 Coding Task 7 - K Nearest Neighbors (KNN).mp458.62MB
  • 28 - Day 21 Classifiers - SVM, KNN, Logistic Regression, Naive Bayes, Random Forest/015 Practice Opportunity 4.mp410.16MB
  • 28 - Day 21 Classifiers - SVM, KNN, Logistic Regression, Naive Bayes, Random Forest/016 Coding Task 8 - Naïve Bayes Classifier Models.mp445.69MB
  • 28 - Day 21 Classifiers - SVM, KNN, Logistic Regression, Naive Bayes, Random Forest/017 Practice Opportunity 5.mp437.21MB
  • 28 - Day 21 Classifiers - SVM, KNN, Logistic Regression, Naive Bayes, Random Forest/018 Coding Task 9 - Compare Classifier Models.mp424.85MB
  • 28 - Day 21 Classifiers - SVM, KNN, Logistic Regression, Naive Bayes, Random Forest/019 Coding Task 10 - Concluding Remarks.mp46.57MB
  • 28 - Day 21 Classifiers - SVM, KNN, Logistic Regression, Naive Bayes, Random Forest/020 Day End Message.mp41.06MB
  • 29 - Day 22 XG-Boost Classification in AWS SageMaker/001 Day Welcome Message.mp45.23MB
  • 29 - Day 22 XG-Boost Classification in AWS SageMaker/003 Project Overview.mp470.61MB
  • 29 - Day 22 XG-Boost Classification in AWS SageMaker/004 XG-Boost 101 [Review].mp471.22MB
  • 29 - Day 22 XG-Boost Classification in AWS SageMaker/005 Classifier Models KPIs.mp463.52MB
  • 29 - Day 22 XG-Boost Classification in AWS SageMaker/006 Coding Task 1 - Understand the Problem Statement and Load Data.mp417.28MB
  • 29 - Day 22 XG-Boost Classification in AWS SageMaker/007 Practice Opportunity 1.mp422.12MB
  • 29 - Day 22 XG-Boost Classification in AWS SageMaker/008 Coding Task 2 - Perform Data Visualization.mp4135.98MB
  • 29 - Day 22 XG-Boost Classification in AWS SageMaker/009 Practice Opportunity 2.mp415.07MB
  • 29 - Day 22 XG-Boost Classification in AWS SageMaker/010 Coding Task 3 - Prepare the data for Model Training.mp417.98MB
  • 29 - Day 22 XG-Boost Classification in AWS SageMaker/011 Coding Task 4 - Train and Evaluate XG-Boost.mp441.65MB
  • 29 - Day 22 XG-Boost Classification in AWS SageMaker/012 Practice Opportunity 3.mp426.84MB
  • 29 - Day 22 XG-Boost Classification in AWS SageMaker/013 Coding Task 5 - Train XG-Boost SageMaker.mp484.86MB
  • 29 - Day 22 XG-Boost Classification in AWS SageMaker/014 Coding Task 6 - Deploy and Test XG-Boost Model.mp456.67MB
  • 29 - Day 22 XG-Boost Classification in AWS SageMaker/015 Practice Opportunity 4.mp436.02MB
  • 29 - Day 22 XG-Boost Classification in AWS SageMaker/016 Final Capstone Project Question.mp437.45MB
  • 29 - Day 22 XG-Boost Classification in AWS SageMaker/017 Final Capstone Project Solution Part 1.mp455.2MB
  • 29 - Day 22 XG-Boost Classification in AWS SageMaker/018 Final Capstone Project Solution Part 2.mp444.03MB
  • 29 - Day 22 XG-Boost Classification in AWS SageMaker/019 Day End Message.mp41.09MB
  • 30 - Day 23 K Nearest Neighbors (KNN) in SageMaker/001 Day Welcome Message.mp46.44MB
  • 30 - Day 23 K Nearest Neighbors (KNN) in SageMaker/003 Project Overview.mp410.8MB
  • 30 - Day 23 K Nearest Neighbors (KNN) in SageMaker/004 K Nearest Neighbors Algorithm 101.mp4142.15MB
  • 30 - Day 23 K Nearest Neighbors (KNN) in SageMaker/005 K Nearest Neighbors in SageMaker.mp447.35MB
  • 30 - Day 23 K Nearest Neighbors (KNN) in SageMaker/006 Coding Task 1 - Import Libraries and Datasets.mp428.93MB
  • 30 - Day 23 K Nearest Neighbors (KNN) in SageMaker/007 Practice Opportunity 1.mp412.57MB
  • 30 - Day 23 K Nearest Neighbors (KNN) in SageMaker/008 Coding Task 2 - Perform Data Visualization.mp430.65MB
  • 30 - Day 23 K Nearest Neighbors (KNN) in SageMaker/009 Practice Opportunity 2.mp47.86MB
  • 30 - Day 23 K Nearest Neighbors (KNN) in SageMaker/010 Coding Task 3 - Split the data.mp48.94MB
  • 30 - Day 23 K Nearest Neighbors (KNN) in SageMaker/011 Coding Task 4 - Train KNN Model in SKLearn.mp415.02MB
  • 30 - Day 23 K Nearest Neighbors (KNN) in SageMaker/012 Coding Task 5 - Evaluate Trained Model Performance.mp412.58MB
  • 30 - Day 23 K Nearest Neighbors (KNN) in SageMaker/013 Coding Task 6 - Train SageMaker Built-in KNN Algorithm.mp489.28MB
  • 30 - Day 23 K Nearest Neighbors (KNN) in SageMaker/014 Coding Task 7 - Evaluate trained model performance.mp464.35MB
  • 30 - Day 23 K Nearest Neighbors (KNN) in SageMaker/015 Final Capstone Project Question.mp44.47MB
  • 30 - Day 23 K Nearest Neighbors (KNN) in SageMaker/016 Final Capstone Project Solution.mp437.06MB
  • 30 - Day 23 K Nearest Neighbors (KNN) in SageMaker/017 Day End Message.mp41.19MB
  • 31 - Day 24 ChatGPT for Programmers/001 Find the Proper Programming Language Syntax Using ChatGPT and GPT-4.mp436.28MB
  • 31 - Day 24 ChatGPT for Programmers/002 Prepare a Study Plan and Find Best Resources (CoursesBooks) with ChatGPT.mp462.19MB
  • 31 - Day 24 ChatGPT for Programmers/003 Perform Code Generation and Design Using ChatGPT.mp430.56MB
  • 31 - Day 24 ChatGPT for Programmers/004 Perform Code Debugging Using ChatGPT.mp454.27MB
  • 31 - Day 24 ChatGPT for Programmers/005 Optimize Your Code With ChatGPT.mp448.26MB
  • 31 - Day 24 ChatGPT for Programmers/006 Conduct Code Review With ChatGPT.mp461.33MB
  • 31 - Day 24 ChatGPT for Programmers/007 Leverage ChatGPT to Add New Features to Your Code.mp463.11MB
  • 31 - Day 24 ChatGPT for Programmers/008 Use ChatGPT to Test and Validate Your Code.mp438.22MB
  • 31 - Day 24 ChatGPT for Programmers/009 Perform Code Documentation With ChatGPT.mp448.64MB
  • 31 - Day 24 ChatGPT for Programmers/010 Convert from One Programming Language to Another Using ChatGPT.mp433.51MB
  • 33 - Day 25 No-Code ML - AutoGluon for Regression Type Problems/001 Day Welcome Message.mp47.79MB
  • 33 - Day 25 No-Code ML - AutoGluon for Regression Type Problems/003 Project Overview & AutoGluon for Tabular Data.mp49.85MB
  • 33 - Day 25 No-Code ML - AutoGluon for Regression Type Problems/004 AI Applications in Business.mp457.05MB
  • 33 - Day 25 No-Code ML - AutoGluon for Regression Type Problems/005 Practice Opportunity.mp468.16MB
  • 33 - Day 25 No-Code ML - AutoGluon for Regression Type Problems/006 Regression Recap.mp466.36MB
  • 33 - Day 25 No-Code ML - AutoGluon for Regression Type Problems/007 AutoGluon 101.mp473.77MB
  • 33 - Day 25 No-Code ML - AutoGluon for Regression Type Problems/008 AutoGluon Presets and Fit Parameters.mp456.19MB
  • 33 - Day 25 No-Code ML - AutoGluon for Regression Type Problems/009 Coding Task 1 - Import AutoGluon and data Import.mp431.4MB
  • 33 - Day 25 No-Code ML - AutoGluon for Regression Type Problems/010 Practice Opportunity 1.mp412.74MB
  • 33 - Day 25 No-Code ML - AutoGluon for Regression Type Problems/011 Coding Task 2 - Perform Exploratory Data Analysis (EDA).mp414.14MB
  • 33 - Day 25 No-Code ML - AutoGluon for Regression Type Problems/012 Practice Opportunity 2.mp410.59MB
  • 33 - Day 25 No-Code ML - AutoGluon for Regression Type Problems/013 Coding Task 3 - Visualize Dataset.mp438.95MB
  • 33 - Day 25 No-Code ML - AutoGluon for Regression Type Problems/014 Practice Opportunity 3.mp421.79MB
  • 33 - Day 25 No-Code ML - AutoGluon for Regression Type Problems/015 Coding Task 4 - Train Models with AutoGluon.mp493.05MB
  • 33 - Day 25 No-Code ML - AutoGluon for Regression Type Problems/016 Coding Task 5 - Evaluate Trained Models.mp462.06MB
  • 33 - Day 25 No-Code ML - AutoGluon for Regression Type Problems/017 Practice Opportunity 4.mp433.83MB
  • 33 - Day 25 No-Code ML - AutoGluon for Regression Type Problems/018 Final Capstone Project Question.mp418.66MB
  • 33 - Day 25 No-Code ML - AutoGluon for Regression Type Problems/019 Final Capstone Project Solution Part 1.mp447.7MB
  • 33 - Day 25 No-Code ML - AutoGluon for Regression Type Problems/020 Final Capstone Project Solution Part 2.mp498.92MB
  • 33 - Day 25 No-Code ML - AutoGluon for Regression Type Problems/021 Final Capstone Project Solution Part 3.mp437.78MB
  • 33 - Day 25 No-Code ML - AutoGluon for Regression Type Problems/022 Day End Message.mp42.67MB
  • 34 - Day 26 No-Code ML - AutoGluon for Classification Type Problems/001 Day Welcome Message.mp47.4MB
  • 34 - Day 26 No-Code ML - AutoGluon for Classification Type Problems/003 Project Overview.mp416.37MB
  • 34 - Day 26 No-Code ML - AutoGluon for Classification Type Problems/004 Classification Models KPIs [ReviewSkip if Familiar].mp430.54MB
  • 34 - Day 26 No-Code ML - AutoGluon for Classification Type Problems/005 AutoGluon for Classification Tasks.mp473.64MB
  • 34 - Day 26 No-Code ML - AutoGluon for Classification Type Problems/006 Coding Task 1 - Import Datasets and AutoGloun.mp426.37MB
  • 34 - Day 26 No-Code ML - AutoGluon for Classification Type Problems/007 Practice Opportunity 1.mp431.71MB
  • 34 - Day 26 No-Code ML - AutoGluon for Classification Type Problems/008 Coding Task 2 - Perform Exploratory Data Analysis.mp486.44MB
  • 34 - Day 26 No-Code ML - AutoGluon for Classification Type Problems/009 Practice Opportunity 2.mp418.79MB
  • 34 - Day 26 No-Code ML - AutoGluon for Classification Type Problems/010 Coding Task 3 - Train Classification Model using AutoGluon.mp439.96MB
  • 34 - Day 26 No-Code ML - AutoGluon for Classification Type Problems/011 Coding Task 4 - Evaluate Classification Model using AutoGluon.mp437.89MB
  • 34 - Day 26 No-Code ML - AutoGluon for Classification Type Problems/012 Practice Opportunity 3.mp433.25MB
  • 34 - Day 26 No-Code ML - AutoGluon for Classification Type Problems/013 Final Capstone Project Question.mp416.54MB
  • 34 - Day 26 No-Code ML - AutoGluon for Classification Type Problems/014 Final Capstone Project Solution Part 1.mp477.29MB
  • 34 - Day 26 No-Code ML - AutoGluon for Classification Type Problems/015 Final Capstone Project Solution Part 2.mp446.55MB
  • 34 - Day 26 No-Code ML - AutoGluon for Classification Type Problems/016 Final Capstone Project Solution Part 3.mp418.93MB
  • 34 - Day 26 No-Code ML - AutoGluon for Classification Type Problems/017 Day End Message.mp42.55MB
  • 35 - Day 27 No-Code ML - Amazon SageMaker Autopilot/001 Day Welcome Message.mp47.1MB
  • 35 - Day 27 No-Code ML - Amazon SageMaker Autopilot/003 Project Overview.mp416.6MB
  • 35 - Day 27 No-Code ML - Amazon SageMaker Autopilot/004 Amazon SageMaker Autopilot.mp4125.46MB
  • 35 - Day 27 No-Code ML - Amazon SageMaker Autopilot/005 SageMaker Autopilot Demo 1 - Upload Data and Train Model.mp431.68MB
  • 35 - Day 27 No-Code ML - Amazon SageMaker Autopilot/006 SageMaker Autopilot Demo 2 - Analyze Trained Models.mp426.67MB
  • 35 - Day 27 No-Code ML - Amazon SageMaker Autopilot/007 SageMaker Autopilot Demo 3 - Candidate Notebooks & Model Deployment.mp480.36MB
  • 35 - Day 27 No-Code ML - Amazon SageMaker Autopilot/008 Resources Cleanup [Important].mp46.04MB
  • 35 - Day 27 No-Code ML - Amazon SageMaker Autopilot/009 Final Capstone Project Question.mp44.72MB
  • 35 - Day 27 No-Code ML - Amazon SageMaker Autopilot/010 Final Capstone Project Solution 1.mp462.45MB
  • 35 - Day 27 No-Code ML - Amazon SageMaker Autopilot/011 Final Capstone Project Solution 2.mp478.74MB
  • 35 - Day 27 No-Code ML - Amazon SageMaker Autopilot/012 Day End Message.mp41.44MB
  • 36 - Day 28 No-Code ML - AWS SageMaker Canvas for Classification & Regression Tasks/001 Day Welcome Message.mp45.19MB
  • 36 - Day 28 No-Code ML - AWS SageMaker Canvas for Classification & Regression Tasks/003 Project Overview.mp433.61MB
  • 36 - Day 28 No-Code ML - AWS SageMaker Canvas for Classification & Regression Tasks/004 AWS SageMaker Canvas 101.mp442.65MB
  • 36 - Day 28 No-Code ML - AWS SageMaker Canvas for Classification & Regression Tasks/005 Success Stories in Human Resources.mp430.96MB
  • 36 - Day 28 No-Code ML - AWS SageMaker Canvas for Classification & Regression Tasks/006 Project Demo Part 1 - Upload data to S3 and Launch Canvas.mp435.53MB
  • 36 - Day 28 No-Code ML - AWS SageMaker Canvas for Classification & Regression Tasks/007 Project Demo Part 2 - Train the Model.mp426.57MB
  • 36 - Day 28 No-Code ML - AWS SageMaker Canvas for Classification & Regression Tasks/008 Project Demo Part 3 - Model Evaluation and Analysis.mp461.77MB
  • 36 - Day 28 No-Code ML - AWS SageMaker Canvas for Classification & Regression Tasks/009 Project Demo Part 4 - Generate Predictions.mp414.45MB
  • 36 - Day 28 No-Code ML - AWS SageMaker Canvas for Classification & Regression Tasks/010 Final End-of-Day Capstone Project Question.mp413.07MB
  • 36 - Day 28 No-Code ML - AWS SageMaker Canvas for Classification & Regression Tasks/011 Final End-of-Day Capstone Project Solution.mp442.11MB
  • 36 - Day 28 No-Code ML - AWS SageMaker Canvas for Classification & Regression Tasks/012 Shutting Down SageMaker Canvas [Important].mp41.99MB
  • 36 - Day 28 No-Code ML - AWS SageMaker Canvas for Classification & Regression Tasks/013 Appendix Review Classification Models KPIs.mp463.53MB
  • 36 - Day 28 No-Code ML - AWS SageMaker Canvas for Classification & Regression Tasks/014 Day End Message.mp42.71MB
  • 38 - Day 29 Lambda Functions Using AWS Console/001 Day Welcome Message.mp45.07MB
  • 38 - Day 29 Lambda Functions Using AWS Console/003 Introduction to AWS Lambda and Key Learning Outcomes.mp415.54MB
  • 38 - Day 29 Lambda Functions Using AWS Console/004 Machine Learning Workflows 101.mp480.85MB
  • 38 - Day 29 Lambda Functions Using AWS Console/005 AWS Lambda Functions 101.mp496.44MB
  • 38 - Day 29 Lambda Functions Using AWS Console/006 AWS Lambda Functions Anatomy.mp416.94MB
  • 38 - Day 29 Lambda Functions Using AWS Console/007 Demo #1 Define and Test AWS Lambda Function.mp427.03MB
  • 38 - Day 29 Lambda Functions Using AWS Console/008 Demo #2 Part #1 Define a Lambda Function.mp442.14MB
  • 38 - Day 29 Lambda Functions Using AWS Console/009 Demo #2 Part #2 Test a Lambda Function.mp420.37MB
  • 38 - Day 29 Lambda Functions Using AWS Console/010 Demo #2 Part #3 Monitor a Lambda Function.mp441.46MB
  • 38 - Day 29 Lambda Functions Using AWS Console/011 Final Capstone Project Question.mp413.18MB
  • 38 - Day 29 Lambda Functions Using AWS Console/012 Final Capstone Project Solution.mp464.74MB
  • 38 - Day 29 Lambda Functions Using AWS Console/013 Day End Message.mp41.67MB
  • 39 - Day 30 Lambda Functions Using AWS SageMaker Boto3 SDK/001 Day Welcome Message.mp419.13MB
  • 39 - Day 30 Lambda Functions Using AWS SageMaker Boto3 SDK/003 Introduction and Key Learning Outcomes.mp414.76MB
  • 39 - Day 30 Lambda Functions Using AWS SageMaker Boto3 SDK/004 Synchronous Vs. Asynchronous Invocations.mp497.21MB
  • 39 - Day 30 Lambda Functions Using AWS SageMaker Boto3 SDK/005 Define a Lambda Function Using Boto3 SDK.mp4121.86MB
  • 39 - Day 30 Lambda Functions Using AWS SageMaker Boto3 SDK/006 Invoke a Lambda Function Using Boto3 SDK.mp4145.71MB
  • 39 - Day 30 Lambda Functions Using AWS SageMaker Boto3 SDK/007 Lambda Invocation with EventBridge.mp447.87MB
  • 39 - Day 30 Lambda Functions Using AWS SageMaker Boto3 SDK/008 Final Capstone Project Question.mp410.77MB
  • 39 - Day 30 Lambda Functions Using AWS SageMaker Boto3 SDK/009 Final Capstone Project Solution Part 1.mp471.59MB
  • 39 - Day 30 Lambda Functions Using AWS SageMaker Boto3 SDK/010 Final Capstone Project Solution Part 2.mp479.63MB
  • 39 - Day 30 Lambda Functions Using AWS SageMaker Boto3 SDK/011 Day End Message.mp42.8MB



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