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种子名称： [FreeCourseSite.com] Udemy - Machine Learning Practical Workout 8 Real-World Projects
文件类型： 视频
文件数目： 81个文件
文件大小： 5.81 GB
收录时间： 2021-3-2 10:07
已经下载： 3次
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最近下载： 2024-11-20 00:14

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[FreeCourseSite.com] Udemy - Machine Learning Practical Workout 8 Real-World Projects.torrent

01 INTRODUCTION TO THE COURSE [QUICK WIN IN FIRST 10-12 MINS]/001 Welcome Message.mp459.21MB

01 INTRODUCTION TO THE COURSE [QUICK WIN IN FIRST 10-12 MINS]/002 Updates on Udemy Reviews.mp423.11MB

01 INTRODUCTION TO THE COURSE [QUICK WIN IN FIRST 10-12 MINS]/003 Course overview.mp442.79MB

01 INTRODUCTION TO THE COURSE [QUICK WIN IN FIRST 10-12 MINS]/004 ML vs. DL vs. AI.mp4126.99MB

01 INTRODUCTION TO THE COURSE [QUICK WIN IN FIRST 10-12 MINS]/005 ML Deep Dive.mp483.82MB

02 ANACONDA AND JUPYTER INSTALLATION/009 Download and Set up Anaconda.mp438.79MB

02 ANACONDA AND JUPYTER INSTALLATION/010 What is Jupyter Notebook.mp427.16MB

02 ANACONDA AND JUPYTER INSTALLATION/012 How to run a Jupyter Notebook.mp482.14MB

03 PROJECT 1 ARTIFICIAL NEURAL NETWORKS - CAR SALES PREDICTION/013 Introduction.mp425.64MB

03 PROJECT 1 ARTIFICIAL NEURAL NETWORKS - CAR SALES PREDICTION/014 Theory Part 1.mp477.76MB

03 PROJECT 1 ARTIFICIAL NEURAL NETWORKS - CAR SALES PREDICTION/015 Theory Part 2.mp449.21MB

03 PROJECT 1 ARTIFICIAL NEURAL NETWORKS - CAR SALES PREDICTION/016 Theory Part 3.mp479.48MB

03 PROJECT 1 ARTIFICIAL NEURAL NETWORKS - CAR SALES PREDICTION/017 Theory Part 4.mp444.57MB

03 PROJECT 1 ARTIFICIAL NEURAL NETWORKS - CAR SALES PREDICTION/018 Theory Part 5.mp431.16MB

03 PROJECT 1 ARTIFICIAL NEURAL NETWORKS - CAR SALES PREDICTION/019 Project Overview.mp470.24MB

03 PROJECT 1 ARTIFICIAL NEURAL NETWORKS - CAR SALES PREDICTION/020 Import Data.mp470.95MB

03 PROJECT 1 ARTIFICIAL NEURAL NETWORKS - CAR SALES PREDICTION/021 Data Visualization Cleaning.mp4167MB

03 PROJECT 1 ARTIFICIAL NEURAL NETWORKS - CAR SALES PREDICTION/022 Model Training 1.mp4100.74MB

03 PROJECT 1 ARTIFICIAL NEURAL NETWORKS - CAR SALES PREDICTION/023 Model Training 2.mp471.43MB

03 PROJECT 1 ARTIFICIAL NEURAL NETWORKS - CAR SALES PREDICTION/024 Model Evaluation.mp482.74MB

04 PROJECT 2 DEEP NEURAL NETWORKS - CIFAR-10 CLASSIFICATION/025 Introduction.mp425.09MB

04 PROJECT 2 DEEP NEURAL NETWORKS - CIFAR-10 CLASSIFICATION/026 Theory Part 1.mp445.86MB

04 PROJECT 2 DEEP NEURAL NETWORKS - CIFAR-10 CLASSIFICATION/027 Theory Part 2.mp4124.03MB

04 PROJECT 2 DEEP NEURAL NETWORKS - CIFAR-10 CLASSIFICATION/028 Theory Part 3.mp499.43MB

04 PROJECT 2 DEEP NEURAL NETWORKS - CIFAR-10 CLASSIFICATION/029 Theory Part 4.mp479.92MB

04 PROJECT 2 DEEP NEURAL NETWORKS - CIFAR-10 CLASSIFICATION/030 Problem Statement.mp455.75MB

04 PROJECT 2 DEEP NEURAL NETWORKS - CIFAR-10 CLASSIFICATION/031 Data Vizualization.mp4129.02MB

04 PROJECT 2 DEEP NEURAL NETWORKS - CIFAR-10 CLASSIFICATION/032 Data Preparation.mp460.89MB

04 PROJECT 2 DEEP NEURAL NETWORKS - CIFAR-10 CLASSIFICATION/033 Model Training Part 1.mp4102.21MB

04 PROJECT 2 DEEP NEURAL NETWORKS - CIFAR-10 CLASSIFICATION/034 Model Training Part 2.mp490.67MB

04 PROJECT 2 DEEP NEURAL NETWORKS - CIFAR-10 CLASSIFICATION/035 Model Evaluation.mp4105.59MB

04 PROJECT 2 DEEP NEURAL NETWORKS - CIFAR-10 CLASSIFICATION/036 Save the Model.mp432.59MB

04 PROJECT 2 DEEP NEURAL NETWORKS - CIFAR-10 CLASSIFICATION/037 Image Augmentation Part 1.mp4109.52MB

04 PROJECT 2 DEEP NEURAL NETWORKS - CIFAR-10 CLASSIFICATION/038 Image augmentation Part 2.mp4107.85MB

05 PROJECT 3 PROPHET TIME SERIES - CHICAGO CRIME RATE/039 Introduction.mp420.39MB

05 PROJECT 3 PROPHET TIME SERIES - CHICAGO CRIME RATE/040 Project Overview.mp470.92MB

05 PROJECT 3 PROPHET TIME SERIES - CHICAGO CRIME RATE/041 Import Dataset.mp455.74MB

05 PROJECT 3 PROPHET TIME SERIES - CHICAGO CRIME RATE/042 Data Vizualization.mp4207.39MB

05 PROJECT 3 PROPHET TIME SERIES - CHICAGO CRIME RATE/043 Prepare the Data.mp428.71MB

05 PROJECT 3 PROPHET TIME SERIES - CHICAGO CRIME RATE/044 Make Predictions.mp471.63MB

06 PROJECT 4 PROPHET TIME SERIES - AVOCADO MARKET/045 Introduction.mp415.04MB

06 PROJECT 4 PROPHET TIME SERIES - AVOCADO MARKET/046 Load Avocado Data.mp465.46MB

06 PROJECT 4 PROPHET TIME SERIES - AVOCADO MARKET/047 Explore Dataset.mp490.22MB

06 PROJECT 4 PROPHET TIME SERIES - AVOCADO MARKET/048 Make Predictions Part 1.mp465.32MB

06 PROJECT 4 PROPHET TIME SERIES - AVOCADO MARKET/049 Make Predictions Part 2 (Region Specific).mp434.77MB

06 PROJECT 4 PROPHET TIME SERIES - AVOCADO MARKET/050 Make Prediction Part 2.1.mp442.96MB

07 PROJECT 5 LE-NET DEEP NETWORK - TRAFFIC SIGN CLASSIFICATION/051 Introduction.mp432.07MB

07 PROJECT 5 LE-NET DEEP NETWORK - TRAFFIC SIGN CLASSIFICATION/052 Project Overview.mp475.46MB

07 PROJECT 5 LE-NET DEEP NETWORK - TRAFFIC SIGN CLASSIFICATION/053 Load Data.mp476.32MB

07 PROJECT 5 LE-NET DEEP NETWORK - TRAFFIC SIGN CLASSIFICATION/054 Data Exploration.mp459.48MB

07 PROJECT 5 LE-NET DEEP NETWORK - TRAFFIC SIGN CLASSIFICATION/055 Data Normalization.mp482.86MB

07 PROJECT 5 LE-NET DEEP NETWORK - TRAFFIC SIGN CLASSIFICATION/056 Model Training.mp4182MB

07 PROJECT 5 LE-NET DEEP NETWORK - TRAFFIC SIGN CLASSIFICATION/057 Model Evaluation.mp4149.28MB

08 PROJECT 6 NATURAL LANGUAGE PROCESSING - E-MAIL SPAM FILTER/058 Introduction.mp429.81MB

08 PROJECT 6 NATURAL LANGUAGE PROCESSING - E-MAIL SPAM FILTER/060 Naive Bayes Theory Part 2.mp4120.81MB

08 PROJECT 6 NATURAL LANGUAGE PROCESSING - E-MAIL SPAM FILTER/061 Spam Project Overview.mp475.89MB

08 PROJECT 6 NATURAL LANGUAGE PROCESSING - E-MAIL SPAM FILTER/062 Visualize Dataset.mp473.24MB

08 PROJECT 6 NATURAL LANGUAGE PROCESSING - E-MAIL SPAM FILTER/063 Count Vectorizer.mp4102.29MB

08 PROJECT 6 NATURAL LANGUAGE PROCESSING - E-MAIL SPAM FILTER/064 Model Training Part 1.mp456.4MB

08 PROJECT 6 NATURAL LANGUAGE PROCESSING - E-MAIL SPAM FILTER/065 Model Training Part 2.mp433.34MB

08 PROJECT 6 NATURAL LANGUAGE PROCESSING - E-MAIL SPAM FILTER/066 Testing.mp450.11MB

09 PROJECT 7 NATURAL LANGUAGE PROCESSING - YELP REVIEWS/067 Introduction.mp420.51MB

09 PROJECT 7 NATURAL LANGUAGE PROCESSING - YELP REVIEWS/068 Theory.mp424.73MB

09 PROJECT 7 NATURAL LANGUAGE PROCESSING - YELP REVIEWS/069 Project Overview.mp438.05MB

09 PROJECT 7 NATURAL LANGUAGE PROCESSING - YELP REVIEWS/070 Load Dataset.mp4107.37MB

09 PROJECT 7 NATURAL LANGUAGE PROCESSING - YELP REVIEWS/071 Visualize Dataset Part 1.mp4124.61MB

09 PROJECT 7 NATURAL LANGUAGE PROCESSING - YELP REVIEWS/073 Exercise 1.mp452.67MB

09 PROJECT 7 NATURAL LANGUAGE PROCESSING - YELP REVIEWS/074 Exercise 2.mp472.63MB

09 PROJECT 7 NATURAL LANGUAGE PROCESSING - YELP REVIEWS/075 Exercise 3.mp473.46MB

09 PROJECT 7 NATURAL LANGUAGE PROCESSING - YELP REVIEWS/076 Apply NLP to Data.mp4112.52MB

09 PROJECT 7 NATURAL LANGUAGE PROCESSING - YELP REVIEWS/077 Apply Count Vectorizer to Data.mp440.03MB

09 PROJECT 7 NATURAL LANGUAGE PROCESSING - YELP REVIEWS/078 Model Training Part 1.mp450.12MB

09 PROJECT 7 NATURAL LANGUAGE PROCESSING - YELP REVIEWS/079 Model Training Part 2.mp437.76MB

09 PROJECT 7 NATURAL LANGUAGE PROCESSING - YELP REVIEWS/080 Model Evaluation Part 1.mp438.14MB

09 PROJECT 7 NATURAL LANGUAGE PROCESSING - YELP REVIEWS/081 Model Evaluation Part 2.mp4112.09MB

10 PROJECT 8 USER-BASED COLLABORATIVE FILTERING - MOVIE RECOMMENDER SYSTEM/082 Introduction.mp415.4MB

10 PROJECT 8 USER-BASED COLLABORATIVE FILTERING - MOVIE RECOMMENDER SYSTEM/084 Project Overview.mp423.19MB

10 PROJECT 8 USER-BASED COLLABORATIVE FILTERING - MOVIE RECOMMENDER SYSTEM/085 Import Movie Dataset.mp4102.46MB

10 PROJECT 8 USER-BASED COLLABORATIVE FILTERING - MOVIE RECOMMENDER SYSTEM/086 Visualize Dataset.mp4157.11MB

10 PROJECT 8 USER-BASED COLLABORATIVE FILTERING - MOVIE RECOMMENDER SYSTEM/087 Collaborative Filter One Movie.mp4169.23MB

10 PROJECT 8 USER-BASED COLLABORATIVE FILTERING - MOVIE RECOMMENDER SYSTEM/088 Full Movie Recomendation.mp482.8MB