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种子名称： [FreeCourseSite.com] Udemy - Complete Machine Learning & Data Science Bootcamp 2022
文件类型： 视频
文件数目： 321个文件
文件大小： 16.31 GB
收录时间： 2021-12-20 20:00
已经下载： 3次
资源热度： 175
最近下载： 2024-12-24 01:02

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[FreeCourseSite.com] Udemy - Complete Machine Learning & Data Science Bootcamp 2022.torrent

01 - Introduction/001 Course Outline.mp477.28MB

01 - Introduction/004 Your First Day.mp47.27MB

02 - Machine Learning 101/001 What Is Machine Learning_.mp428.3MB

02 - Machine Learning 101/002 AI_Machine Learning_Data Science.mp419.66MB

02 - Machine Learning 101/003 Exercise_ Machine Learning Playground.mp442.57MB

02 - Machine Learning 101/004 How Did We Get Here_.mp430.5MB

02 - Machine Learning 101/005 Exercise_ YouTube Recommendation Engine.mp48.89MB

02 - Machine Learning 101/006 Types of Machine Learning.mp49.63MB

02 - Machine Learning 101/008 What Is Machine Learning_ Round 2.mp411.85MB

02 - Machine Learning 101/009 Section Review.mp42.25MB

03 - Machine Learning and Data Science Framework/001 Section Overview.mp46.34MB

03 - Machine Learning and Data Science Framework/002 Introducing Our Framework.mp44.2MB

03 - Machine Learning and Data Science Framework/003 6 Step Machine Learning Framework.mp423.45MB

03 - Machine Learning and Data Science Framework/004 Types of Machine Learning Problems.mp420.98MB

03 - Machine Learning and Data Science Framework/005 Types of Data.mp420.01MB

03 - Machine Learning and Data Science Framework/006 Types of Evaluation.mp46.52MB

03 - Machine Learning and Data Science Framework/007 Features In Data.mp414.84MB

03 - Machine Learning and Data Science Framework/008 Modelling - Splitting Data.mp411.3MB

03 - Machine Learning and Data Science Framework/009 Modelling - Picking the Model.mp48.74MB

03 - Machine Learning and Data Science Framework/010 Modelling - Tuning.mp415.98MB

03 - Machine Learning and Data Science Framework/011 Modelling - Comparison.mp418.23MB

03 - Machine Learning and Data Science Framework/013 Experimentation.mp411.55MB

03 - Machine Learning and Data Science Framework/014 Tools We Will Use.mp412.91MB

04 - The 2 Paths/001 The 2 Paths.mp44.26MB

05 - Data Science Environment Setup/001 Section Overview.mp41.89MB

05 - Data Science Environment Setup/002 Introducing Our Tools.mp419.27MB

05 - Data Science Environment Setup/003 What is Conda_.mp412.46MB

05 - Data Science Environment Setup/004 Conda Environments.mp414.62MB

05 - Data Science Environment Setup/005 Mac Environment Setup.mp4139.56MB

05 - Data Science Environment Setup/006 Mac Environment Setup 2.mp4122.18MB

05 - Data Science Environment Setup/007 Windows Environment Setup.mp432.91MB

05 - Data Science Environment Setup/008 Windows Environment Setup 2.mp4190.92MB

05 - Data Science Environment Setup/011 Jupyter Notebook Walkthrough.mp456.79MB

05 - Data Science Environment Setup/012 Jupyter Notebook Walkthrough 2.mp487.64MB

05 - Data Science Environment Setup/013 Jupyter Notebook Walkthrough 3.mp469.67MB

06 - Pandas_ Data Analysis/001 Section Overview.mp43.57MB

06 - Pandas_ Data Analysis/003 Pandas Introduction.mp411.09MB

06 - Pandas_ Data Analysis/004 Series, Data Frames and CSVs.mp491.09MB

06 - Pandas_ Data Analysis/006 Describing Data with Pandas.mp451.19MB

06 - Pandas_ Data Analysis/007 Selecting and Viewing Data with Pandas.mp461.67MB

06 - Pandas_ Data Analysis/008 Selecting and Viewing Data with Pandas Part 2.mp4103.45MB

06 - Pandas_ Data Analysis/009 Manipulating Data.mp4100.85MB

06 - Pandas_ Data Analysis/010 Manipulating Data 2.mp484.31MB

06 - Pandas_ Data Analysis/011 Manipulating Data 3.mp476.8MB

06 - Pandas_ Data Analysis/013 How To Download The Course Assignments.mp464.62MB

07 - NumPy/001 Section Overview.mp48.09MB

07 - NumPy/002 NumPy Introduction.mp413.63MB

07 - NumPy/004 NumPy DataTypes and Attributes.mp456.56MB

07 - NumPy/005 Creating NumPy Arrays.mp456.09MB

07 - NumPy/006 NumPy Random Seed.mp436.46MB

07 - NumPy/007 Viewing Arrays and Matrices.mp459.36MB

07 - NumPy/008 Manipulating Arrays.mp468.48MB

07 - NumPy/009 Manipulating Arrays 2.mp457.97MB

07 - NumPy/010 Standard Deviation and Variance.mp436.79MB

07 - NumPy/011 Reshape and Transpose.mp451.39MB

07 - NumPy/012 Dot Product vs Element Wise.mp483.66MB

07 - NumPy/013 Exercise_ Nut Butter Store Sales.mp487.17MB

07 - NumPy/014 Comparison Operators.mp422.04MB

07 - NumPy/015 Sorting Arrays.mp424.28MB

07 - NumPy/016 Turn Images Into NumPy Arrays.mp471.28MB

08 - Matplotlib_ Plotting and Data Visualization/001 Section Overview.mp42.79MB

08 - Matplotlib_ Plotting and Data Visualization/002 Matplotlib Introduction.mp420.9MB

08 - Matplotlib_ Plotting and Data Visualization/003 Importing And Using Matplotlib.mp486.5MB

08 - Matplotlib_ Plotting and Data Visualization/004 Anatomy Of A Matplotlib Figure.mp453.21MB

08 - Matplotlib_ Plotting and Data Visualization/005 Scatter Plot And Bar Plot.mp444.6MB

08 - Matplotlib_ Plotting and Data Visualization/006 Histograms And Subplots.mp457.48MB

08 - Matplotlib_ Plotting and Data Visualization/007 Subplots Option 2.mp431.24MB

08 - Matplotlib_ Plotting and Data Visualization/008 Quick Tip_ Data Visualizations.mp44.35MB

08 - Matplotlib_ Plotting and Data Visualization/009 Plotting From Pandas DataFrames.mp449.46MB

08 - Matplotlib_ Plotting and Data Visualization/011 Plotting From Pandas DataFrames 2.mp497.29MB

08 - Matplotlib_ Plotting and Data Visualization/012 Plotting from Pandas DataFrames 3.mp473.38MB

08 - Matplotlib_ Plotting and Data Visualization/013 Plotting from Pandas DataFrames 4.mp414.32MB

08 - Matplotlib_ Plotting and Data Visualization/014 Plotting from Pandas DataFrames 5.mp454.39MB

08 - Matplotlib_ Plotting and Data Visualization/015 Plotting from Pandas DataFrames 6.mp467.47MB

08 - Matplotlib_ Plotting and Data Visualization/016 Plotting from Pandas DataFrames 7.mp4118.88MB

08 - Matplotlib_ Plotting and Data Visualization/017 Customizing Your Plots.mp490.98MB

08 - Matplotlib_ Plotting and Data Visualization/018 Customizing Your Plots 2.mp4123.67MB

08 - Matplotlib_ Plotting and Data Visualization/019 Saving And Sharing Your Plots.mp449.62MB

09 - Scikit-learn_ Creating Machine Learning Models/001 Section Overview.mp45.57MB

09 - Scikit-learn_ Creating Machine Learning Models/002 Scikit-learn Introduction.mp417.17MB

09 - Scikit-learn_ Creating Machine Learning Models/004 Refresher_ What Is Machine Learning_.mp417.85MB

09 - Scikit-learn_ Creating Machine Learning Models/006 Scikit-learn Cheatsheet.mp475.12MB

09 - Scikit-learn_ Creating Machine Learning Models/007 Typical scikit-learn Workflow.mp4184.59MB

09 - Scikit-learn_ Creating Machine Learning Models/008 Optional_ Debugging Warnings In Jupyter.mp4171.49MB

09 - Scikit-learn_ Creating Machine Learning Models/009 Getting Your Data Ready_ Splitting Your Data.mp461.01MB

09 - Scikit-learn_ Creating Machine Learning Models/010 Quick Tip_ Clean, Transform, Reduce.mp49.74MB

09 - Scikit-learn_ Creating Machine Learning Models/011 Getting Your Data Ready_ Convert Data To Numbers.mp4130.89MB

09 - Scikit-learn_ Creating Machine Learning Models/013 Getting Your Data Ready_ Handling Missing Values With Pandas.mp445.56MB

09 - Scikit-learn_ Creating Machine Learning Models/016 Getting Your Data Ready_ Handling Missing Values With Scikit-learn.mp4131.36MB

09 - Scikit-learn_ Creating Machine Learning Models/017 NEW_ Choosing The Right Model For Your Data.mp4234.28MB

09 - Scikit-learn_ Creating Machine Learning Models/018 NEW_ Choosing The Right Model For Your Data 2 (Regression).mp4128.64MB

09 - Scikit-learn_ Creating Machine Learning Models/020 Quick Tip_ How ML Algorithms Work.mp42.78MB

09 - Scikit-learn_ Creating Machine Learning Models/021 Choosing The Right Model For Your Data 3 (Classification).mp4115.87MB

09 - Scikit-learn_ Creating Machine Learning Models/022 Fitting A Model To The Data.mp438.41MB

09 - Scikit-learn_ Creating Machine Learning Models/023 Making Predictions With Our Model.mp464.1MB

09 - Scikit-learn_ Creating Machine Learning Models/024 predict() vs predict_proba().mp439.07MB

09 - Scikit-learn_ Creating Machine Learning Models/025 NEW_ Making Predictions With Our Model (Regression).mp479.23MB

09 - Scikit-learn_ Creating Machine Learning Models/026 NEW_ Evaluating A Machine Learning Model (Score) Part 1.mp436.57MB

09 - Scikit-learn_ Creating Machine Learning Models/027 NEW_ Evaluating A Machine Learning Model (Score) Part 2.mp452.92MB

09 - Scikit-learn_ Creating Machine Learning Models/028 Evaluating A Machine Learning Model 2 (Cross Validation).mp481.47MB

09 - Scikit-learn_ Creating Machine Learning Models/029 Evaluating A Classification Model 1 (Accuracy).mp429.87MB

09 - Scikit-learn_ Creating Machine Learning Models/030 Evaluating A Classification Model 2 (ROC Curve).mp456.34MB

09 - Scikit-learn_ Creating Machine Learning Models/031 Evaluating A Classification Model 3 (ROC Curve).mp447.72MB

09 - Scikit-learn_ Creating Machine Learning Models/033 Evaluating A Classification Model 4 (Confusion Matrix).mp477.69MB

09 - Scikit-learn_ Creating Machine Learning Models/034 NEW_ Evaluating A Classification Model 5 (Confusion Matrix).mp4106.5MB

09 - Scikit-learn_ Creating Machine Learning Models/035 Evaluating A Classification Model 6 (Classification Report).mp484.95MB

09 - Scikit-learn_ Creating Machine Learning Models/036 NEW_ Evaluating A Regression Model 1 (R2 Score).mp499.44MB

09 - Scikit-learn_ Creating Machine Learning Models/037 NEW_ Evaluating A Regression Model 2 (MAE).mp442.9MB

09 - Scikit-learn_ Creating Machine Learning Models/038 NEW_ Evaluating A Regression Model 3 (MSE).mp458.75MB

09 - Scikit-learn_ Creating Machine Learning Models/040 NEW_ Evaluating A Model With Cross Validation and Scoring Parameter.mp4224.91MB

09 - Scikit-learn_ Creating Machine Learning Models/041 NEW_ Evaluating A Model With Scikit-learn Functions.mp4130.4MB

09 - Scikit-learn_ Creating Machine Learning Models/042 Improving A Machine Learning Model.mp490.87MB

09 - Scikit-learn_ Creating Machine Learning Models/043 Tuning Hyperparameters.mp4167.98MB

09 - Scikit-learn_ Creating Machine Learning Models/044 Tuning Hyperparameters 2.mp4116.86MB

09 - Scikit-learn_ Creating Machine Learning Models/045 Tuning Hyperparameters 3.mp4118.13MB

09 - Scikit-learn_ Creating Machine Learning Models/047 Quick Tip_ Correlation Analysis.mp416.33MB

09 - Scikit-learn_ Creating Machine Learning Models/048 Saving And Loading A Model.mp450.43MB

09 - Scikit-learn_ Creating Machine Learning Models/049 Saving And Loading A Model 2.mp447.66MB

09 - Scikit-learn_ Creating Machine Learning Models/050 Putting It All Together.mp4143.21MB

09 - Scikit-learn_ Creating Machine Learning Models/051 Putting It All Together 2.mp4114.19MB

11 - Milestone Project 1_ Supervised Learning (Classification)/001 Section Overview.mp43.25MB

11 - Milestone Project 1_ Supervised Learning (Classification)/002 Project Overview.mp413.67MB

11 - Milestone Project 1_ Supervised Learning (Classification)/003 Project Environment Setup.mp498.03MB

11 - Milestone Project 1_ Supervised Learning (Classification)/004 Optional_ Windows Project Environment Setup.mp434.5MB

11 - Milestone Project 1_ Supervised Learning (Classification)/005 Step 1~4 Framework Setup.mp4102.28MB

11 - Milestone Project 1_ Supervised Learning (Classification)/006 Getting Our Tools Ready.mp476.81MB

11 - Milestone Project 1_ Supervised Learning (Classification)/007 Exploring Our Data.mp464.46MB

11 - Milestone Project 1_ Supervised Learning (Classification)/008 Finding Patterns.mp460.29MB

11 - Milestone Project 1_ Supervised Learning (Classification)/009 Finding Patterns 2.mp494.32MB

11 - Milestone Project 1_ Supervised Learning (Classification)/010 Finding Patterns 3.mp4135.93MB

11 - Milestone Project 1_ Supervised Learning (Classification)/011 Preparing Our Data For Machine Learning.mp470.41MB

11 - Milestone Project 1_ Supervised Learning (Classification)/012 Choosing The Right Models.mp496.34MB

11 - Milestone Project 1_ Supervised Learning (Classification)/013 Experimenting With Machine Learning Models.mp453.94MB

11 - Milestone Project 1_ Supervised Learning (Classification)/014 Tuning_Improving Our Model.mp4102.85MB

11 - Milestone Project 1_ Supervised Learning (Classification)/015 Tuning Hyperparameters.mp4106.28MB

11 - Milestone Project 1_ Supervised Learning (Classification)/016 Tuning Hyperparameters 2.mp4101.73MB

11 - Milestone Project 1_ Supervised Learning (Classification)/017 Tuning Hyperparameters 3.mp461.5MB

11 - Milestone Project 1_ Supervised Learning (Classification)/019 Evaluating Our Model.mp468.05MB

11 - Milestone Project 1_ Supervised Learning (Classification)/020 Evaluating Our Model 2.mp434.64MB

11 - Milestone Project 1_ Supervised Learning (Classification)/021 Evaluating Our Model 3.mp462.06MB

11 - Milestone Project 1_ Supervised Learning (Classification)/022 Finding The Most Important Features.mp4123.68MB

11 - Milestone Project 1_ Supervised Learning (Classification)/023 Reviewing The Project.mp484.78MB

12 - Milestone Project 2_ Supervised Learning (Time Series Data)/001 Section Overview.mp43.67MB

12 - Milestone Project 2_ Supervised Learning (Time Series Data)/002 Project Overview.mp415.85MB

12 - Milestone Project 2_ Supervised Learning (Time Series Data)/004 Project Environment Setup.mp499.11MB

12 - Milestone Project 2_ Supervised Learning (Time Series Data)/005 Step 1~4 Framework Setup.mp484.12MB

12 - Milestone Project 2_ Supervised Learning (Time Series Data)/006 Exploring Our Data.mp4135.5MB

12 - Milestone Project 2_ Supervised Learning (Time Series Data)/007 Exploring Our Data 2.mp450.7MB

12 - Milestone Project 2_ Supervised Learning (Time Series Data)/008 Feature Engineering.mp4157.4MB

12 - Milestone Project 2_ Supervised Learning (Time Series Data)/009 Turning Data Into Numbers.mp4144.16MB

12 - Milestone Project 2_ Supervised Learning (Time Series Data)/010 Filling Missing Numerical Values.mp4103.42MB

12 - Milestone Project 2_ Supervised Learning (Time Series Data)/011 Filling Missing Categorical Values.mp464.59MB

12 - Milestone Project 2_ Supervised Learning (Time Series Data)/012 Fitting A Machine Learning Model.mp453.52MB

12 - Milestone Project 2_ Supervised Learning (Time Series Data)/013 Splitting Data.mp436.98MB

12 - Milestone Project 2_ Supervised Learning (Time Series Data)/015 Custom Evaluation Function.mp467.5MB

12 - Milestone Project 2_ Supervised Learning (Time Series Data)/016 Reducing Data.mp491.44MB

12 - Milestone Project 2_ Supervised Learning (Time Series Data)/017 RandomizedSearchCV.mp472.09MB

12 - Milestone Project 2_ Supervised Learning (Time Series Data)/018 Improving Hyperparameters.mp477.96MB

12 - Milestone Project 2_ Supervised Learning (Time Series Data)/019 Preproccessing Our Data.mp4114.64MB

12 - Milestone Project 2_ Supervised Learning (Time Series Data)/020 Making Predictions.mp477.41MB

12 - Milestone Project 2_ Supervised Learning (Time Series Data)/021 Feature Importance.mp4140.54MB

13 - Data Engineering/001 Data Engineering Introduction.mp46.57MB

13 - Data Engineering/002 What Is Data_.mp415.23MB

13 - Data Engineering/003 What Is A Data Engineer_.mp49.5MB

13 - Data Engineering/004 What Is A Data Engineer 2_.mp424.21MB

13 - Data Engineering/005 What Is A Data Engineer 3_.mp413.14MB

13 - Data Engineering/006 What Is A Data Engineer 4_.mp47.43MB

13 - Data Engineering/007 Types Of Databases.mp424.34MB

13 - Data Engineering/009 Optional_ OLTP Databases.mp468.24MB

13 - Data Engineering/011 Hadoop, HDFS and MapReduce.mp45.11MB

13 - Data Engineering/012 Apache Spark and Apache Flink.mp42.63MB

13 - Data Engineering/013 Kafka and Stream Processing.mp414.36MB

14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/001 Section Overview.mp44.33MB

14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/002 Deep Learning and Unstructured Data.mp469.83MB

14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/004 Setting Up Google Colab.mp473.72MB

14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/005 Google Colab Workspace.mp432.23MB

14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/006 Uploading Project Data.mp450.16MB

14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/007 Setting Up Our Data.mp441.41MB

14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/008 Setting Up Our Data 2.mp420.99MB

14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/009 Importing TensorFlow 2.mp4114.44MB

14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/010 Optional_ TensorFlow 2.0 Default Issue.mp413.98MB

14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/011 Using A GPU.mp478.88MB

14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/012 Optional_ GPU and Google Colab.mp438.31MB

14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/013 Optional_ Reloading Colab Notebook.mp471.87MB

14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/014 Loading Our Data Labels.mp4112.36MB

14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/015 Preparing The Images.mp4132.05MB

14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/016 Turning Data Labels Into Numbers.mp4104.97MB

14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/017 Creating Our Own Validation Set.mp455.55MB

14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/018 Preprocess Images.mp488.09MB

14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/019 Preprocess Images 2.mp487.19MB

14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/020 Turning Data Into Batches.mp474.59MB

14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/021 Turning Data Into Batches 2.mp4126.99MB

14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/022 Visualizing Our Data.mp4120.06MB

14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/023 Preparing Our Inputs and Outputs.mp447.96MB

14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/025 Building A Deep Learning Model.mp4120.15MB

14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/026 Building A Deep Learning Model 2.mp488.6MB

14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/027 Building A Deep Learning Model 3.mp4105.42MB

14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/028 Building A Deep Learning Model 4.mp472MB

14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/029 Summarizing Our Model.mp444.38MB

14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/030 Evaluating Our Model.mp467.15MB

14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/031 Preventing Overfitting.mp435.27MB

14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/032 Training Your Deep Neural Network.mp4163.09MB

14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/033 Evaluating Performance With TensorBoard.mp473.3MB

14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/034 Make And Transform Predictions.mp4153.74MB

14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/035 Transform Predictions To Text.mp4126.28MB

14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/036 Visualizing Model Predictions.mp4115.65MB

14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/037 Visualizing And Evaluate Model Predictions 2.mp4140.3MB

14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/038 Visualizing And Evaluate Model Predictions 3.mp4112.53MB

14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/039 Saving And Loading A Trained Model.mp4124.82MB

14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/040 Training Model On Full Dataset.mp448.58MB

14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/041 Making Predictions On Test Images.mp4120.06MB

14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/042 Submitting Model to Kaggle.mp4101.92MB

14 - Neural Networks_ Deep Learning, Transfer Learning and TensorFlow 2/043 Making Predictions On Our Images.mp4119.42MB

15 - Storytelling + Communication_ How To Present Your Work/001 Section Overview.mp43.41MB

15 - Storytelling + Communication_ How To Present Your Work/002 Communicating Your Work.mp48.41MB

15 - Storytelling + Communication_ How To Present Your Work/003 Communicating With Managers.mp46.67MB

15 - Storytelling + Communication_ How To Present Your Work/004 Communicating With Co-Workers.mp47.34MB

15 - Storytelling + Communication_ How To Present Your Work/005 Weekend Project Principle.mp410.31MB

15 - Storytelling + Communication_ How To Present Your Work/006 Communicating With Outside World.mp46.29MB

15 - Storytelling + Communication_ How To Present Your Work/007 Storytelling.mp44.86MB

16 - Career Advice + Extra Bits/003 What If I Don't Have Enough Experience_.mp4147.35MB

16 - Career Advice + Extra Bits/006 JTS_ Learn to Learn.mp42.65MB

16 - Career Advice + Extra Bits/007 JTS_ Start With Why.mp47.45MB

16 - Career Advice + Extra Bits/009 CWD_ Git + Github.mp4176.27MB

16 - Career Advice + Extra Bits/010 CWD_ Git + Github 2.mp4102.62MB

16 - Career Advice + Extra Bits/011 Contributing To Open Source.mp4109.38MB

16 - Career Advice + Extra Bits/012 Contributing To Open Source 2.mp4112.99MB

17 - Learn Python/001 What Is A Programming Language.mp418.83MB

17 - Learn Python/002 Python Interpreter.mp468.54MB

17 - Learn Python/003 How To Run Python Code.mp436.42MB

17 - Learn Python/004 Our First Python Program.mp429.85MB

17 - Learn Python/005 Latest Version Of Python.mp46.99MB

17 - Learn Python/006 Python 2 vs Python 3.mp465.78MB

17 - Learn Python/007 Exercise_ How Does Python Work_.mp49.34MB

17 - Learn Python/008 Learning Python.mp46.56MB

17 - Learn Python/009 Python Data Types.mp411.93MB

17 - Learn Python/011 Numbers.mp455.05MB

17 - Learn Python/012 Math Functions.mp425.91MB

17 - Learn Python/013 DEVELOPER FUNDAMENTALS_ I.mp447.71MB

17 - Learn Python/014 Operator Precedence.mp45.78MB

17 - Learn Python/016 Optional_ bin() and complex.mp410.65MB

17 - Learn Python/017 Variables.mp456.86MB

17 - Learn Python/018 Expressions vs Statements.mp43.16MB

17 - Learn Python/019 Augmented Assignment Operator.mp45.65MB

17 - Learn Python/020 Strings.mp411.19MB

17 - Learn Python/021 String Concatenation.mp42.16MB

17 - Learn Python/022 Type Conversion.mp414.59MB

17 - Learn Python/023 Escape Sequences.mp48.68MB

17 - Learn Python/024 Formatted Strings.mp421.81MB

17 - Learn Python/025 String Indexes.mp417.42MB

17 - Learn Python/026 Immutability.mp48.19MB

17 - Learn Python/027 Built-In Functions + Methods.mp444.06MB

17 - Learn Python/028 Booleans.mp47.45MB

17 - Learn Python/029 Exercise_ Type Conversion.mp421.77MB

17 - Learn Python/030 DEVELOPER FUNDAMENTALS_ II.mp418.68MB

17 - Learn Python/031 Exercise_ Password Checker.mp421.26MB

17 - Learn Python/032 Lists.mp48.9MB

17 - Learn Python/033 List Slicing.mp417.54MB

17 - Learn Python/034 Matrix.mp48.72MB

17 - Learn Python/035 List Methods.mp440.19MB

17 - Learn Python/036 List Methods 2.mp417.62MB

17 - Learn Python/037 List Methods 3.mp424.46MB

17 - Learn Python/038 Common List Patterns.mp416.81MB

17 - Learn Python/039 List Unpacking.mp46.19MB

17 - Learn Python/040 None.mp43.08MB

17 - Learn Python/041 Dictionaries.mp412.49MB

17 - Learn Python/042 DEVELOPER FUNDAMENTALS_ III.mp48.66MB

17 - Learn Python/043 Dictionary Keys.mp47.88MB

17 - Learn Python/044 Dictionary Methods.mp410.08MB

17 - Learn Python/045 Dictionary Methods 2.mp428.2MB

17 - Learn Python/046 Tuples.mp49.99MB

17 - Learn Python/047 Tuples 2.mp46.25MB

17 - Learn Python/048 Sets.mp424.27MB

17 - Learn Python/049 Sets 2.mp452.43MB

18 - Learn Python Part 2/001 Breaking The Flow.mp47.4MB

18 - Learn Python Part 2/002 Conditional Logic.mp456.54MB

18 - Learn Python Part 2/003 Indentation In Python.mp411.31MB

18 - Learn Python Part 2/004 Truthy vs Falsey.mp436.35MB

18 - Learn Python Part 2/005 Ternary Operator.mp48.32MB

18 - Learn Python Part 2/006 Short Circuiting.mp48.15MB

18 - Learn Python Part 2/007 Logical Operators.mp414.6MB

18 - Learn Python Part 2/008 Exercise_ Logical Operators.mp419.03MB

18 - Learn Python Part 2/009 is vs ==.mp415.08MB

18 - Learn Python Part 2/010 For Loops.mp416.43MB

18 - Learn Python Part 2/011 Iterables.mp423.53MB

18 - Learn Python Part 2/012 Exercise_ Tricky Counter.mp45.52MB

18 - Learn Python Part 2/013 range().mp420.78MB

18 - Learn Python Part 2/014 enumerate().mp49.4MB

18 - Learn Python Part 2/015 While Loops.mp413.94MB

18 - Learn Python Part 2/016 While Loops 2.mp411.48MB

18 - Learn Python Part 2/017 break, continue, pass.mp49.25MB

18 - Learn Python Part 2/018 Our First GUI.mp446.05MB

18 - Learn Python Part 2/019 DEVELOPER FUNDAMENTALS_ IV.mp424.71MB

18 - Learn Python Part 2/020 Exercise_ Find Duplicates.mp48.5MB

18 - Learn Python Part 2/021 Functions.mp421.27MB

18 - Learn Python Part 2/022 Parameters and Arguments.mp49.32MB

18 - Learn Python Part 2/023 Default Parameters and Keyword Arguments.mp418.12MB

18 - Learn Python Part 2/024 return.mp436.79MB

18 - Learn Python Part 2/026 Methods vs Functions.mp426.33MB

18 - Learn Python Part 2/027 Docstrings.mp410.25MB

18 - Learn Python Part 2/028 Clean Code.mp417.58MB

18 - Learn Python Part 2/029 _args and __kwargs.mp432.78MB

18 - Learn Python Part 2/030 Exercise_ Functions.mp410.66MB

18 - Learn Python Part 2/031 Scope.mp48.1MB

18 - Learn Python Part 2/032 Scope Rules.mp418.9MB

18 - Learn Python Part 2/033 global Keyword.mp421.37MB

18 - Learn Python Part 2/034 nonlocal Keyword.mp49.34MB

18 - Learn Python Part 2/035 Why Do We Need Scope_.mp48.65MB

18 - Learn Python Part 2/036 Pure Functions.mp430.01MB

18 - Learn Python Part 2/037 map().mp433.47MB

18 - Learn Python Part 2/038 filter().mp49.92MB

18 - Learn Python Part 2/039 zip().mp410.18MB

18 - Learn Python Part 2/040 reduce().mp423.79MB

18 - Learn Python Part 2/041 List Comprehensions.mp424.3MB

18 - Learn Python Part 2/042 Set Comprehensions.mp417.07MB

18 - Learn Python Part 2/043 Exercise_ Comprehensions.mp49.65MB

18 - Learn Python Part 2/045 Modules in Python.mp478.1MB

18 - Learn Python Part 2/047 Optional_ PyCharm.mp425.36MB

18 - Learn Python Part 2/048 Packages in Python.mp461.84MB

18 - Learn Python Part 2/049 Different Ways To Import.mp423.95MB

20 - Where To Go From Here_/002 Thank You.mp44.5MB