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

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

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文件列表

  • 01 INTRODUCTION TO THE COURSE [QUICK WIN IN FIRST 10-12 MINS]/006 DL-and-ML-Practical-Tutorials-Package.zip 616.8 MB
  • 05 PROJECT 3 PROPHET TIME SERIES - CHICAGO CRIME RATE/042 Data Vizualization.mp4 217.5 MB
  • 07 PROJECT 5 LE-NET DEEP NETWORK - TRAFFIC SIGN CLASSIFICATION/056 Model Training.mp4 190.8 MB
  • 10 PROJECT 8 USER-BASED COLLABORATIVE FILTERING - MOVIE RECOMMENDER SYSTEM/087 Collaborative Filter One Movie.mp4 177.5 MB
  • 03 PROJECT 1 ARTIFICIAL NEURAL NETWORKS - CAR SALES PREDICTION/021 Data Visualization Cleaning.mp4 175.1 MB
  • 10 PROJECT 8 USER-BASED COLLABORATIVE FILTERING - MOVIE RECOMMENDER SYSTEM/086 Visualize Dataset.mp4 164.7 MB
  • 07 PROJECT 5 LE-NET DEEP NETWORK - TRAFFIC SIGN CLASSIFICATION/057 Model Evaluation.mp4 156.5 MB
  • 04 PROJECT 2 DEEP NEURAL NETWORKS - CIFAR-10 CLASSIFICATION/031 Data Vizualization.mp4 135.3 MB
  • 01 INTRODUCTION TO THE COURSE [QUICK WIN IN FIRST 10-12 MINS]/004 ML vs. DL vs. AI.mp4 133.2 MB
  • 09 PROJECT 7 NATURAL LANGUAGE PROCESSING - YELP REVIEWS/071 Visualize Dataset Part 1.mp4 130.7 MB
  • 04 PROJECT 2 DEEP NEURAL NETWORKS - CIFAR-10 CLASSIFICATION/027 Theory Part 2.mp4 130.1 MB
  • 08 PROJECT 6 NATURAL LANGUAGE PROCESSING - E-MAIL SPAM FILTER/060 Naive Bayes Theory Part 2.mp4 126.7 MB
  • 09 PROJECT 7 NATURAL LANGUAGE PROCESSING - YELP REVIEWS/076 Apply NLP to Data.mp4 118.0 MB
  • 09 PROJECT 7 NATURAL LANGUAGE PROCESSING - YELP REVIEWS/081 Model Evaluation Part 2.mp4 117.5 MB
  • 04 PROJECT 2 DEEP NEURAL NETWORKS - CIFAR-10 CLASSIFICATION/037 Image Augmentation Part 1.mp4 114.8 MB
  • 04 PROJECT 2 DEEP NEURAL NETWORKS - CIFAR-10 CLASSIFICATION/038 Image augmentation Part 2.mp4 113.1 MB
  • 09 PROJECT 7 NATURAL LANGUAGE PROCESSING - YELP REVIEWS/070 Load Dataset.mp4 112.6 MB
  • 04 PROJECT 2 DEEP NEURAL NETWORKS - CIFAR-10 CLASSIFICATION/035 Model Evaluation.mp4 110.7 MB
  • 10 PROJECT 8 USER-BASED COLLABORATIVE FILTERING - MOVIE RECOMMENDER SYSTEM/085 Import Movie Dataset.mp4 107.4 MB
  • 08 PROJECT 6 NATURAL LANGUAGE PROCESSING - E-MAIL SPAM FILTER/063 Count Vectorizer.mp4 107.3 MB
  • 04 PROJECT 2 DEEP NEURAL NETWORKS - CIFAR-10 CLASSIFICATION/033 Model Training Part 1.mp4 107.2 MB
  • 03 PROJECT 1 ARTIFICIAL NEURAL NETWORKS - CAR SALES PREDICTION/022 Model Training 1.mp4 105.6 MB
  • 04 PROJECT 2 DEEP NEURAL NETWORKS - CIFAR-10 CLASSIFICATION/028 Theory Part 3.mp4 104.3 MB
  • 04 PROJECT 2 DEEP NEURAL NETWORKS - CIFAR-10 CLASSIFICATION/034 Model Training Part 2.mp4 95.1 MB
  • 06 PROJECT 4 PROPHET TIME SERIES - AVOCADO MARKET/047 Explore Dataset.mp4 94.6 MB
  • 01 INTRODUCTION TO THE COURSE [QUICK WIN IN FIRST 10-12 MINS]/005 ML Deep Dive.mp4 87.9 MB
  • 07 PROJECT 5 LE-NET DEEP NETWORK - TRAFFIC SIGN CLASSIFICATION/055 Data Normalization.mp4 86.9 MB
  • 10 PROJECT 8 USER-BASED COLLABORATIVE FILTERING - MOVIE RECOMMENDER SYSTEM/088 Full Movie Recomendation.mp4 86.8 MB
  • 03 PROJECT 1 ARTIFICIAL NEURAL NETWORKS - CAR SALES PREDICTION/024 Model Evaluation.mp4 86.8 MB
  • 02 ANACONDA AND JUPYTER INSTALLATION/012 How to run a Jupyter Notebook.mp4 86.1 MB
  • 04 PROJECT 2 DEEP NEURAL NETWORKS - CIFAR-10 CLASSIFICATION/029 Theory Part 4.mp4 83.8 MB
  • 03 PROJECT 1 ARTIFICIAL NEURAL NETWORKS - CAR SALES PREDICTION/016 Theory Part 3.mp4 83.3 MB
  • 03 PROJECT 1 ARTIFICIAL NEURAL NETWORKS - CAR SALES PREDICTION/014 Theory Part 1.mp4 81.5 MB
  • 07 PROJECT 5 LE-NET DEEP NETWORK - TRAFFIC SIGN CLASSIFICATION/053 Load Data.mp4 80.0 MB
  • 08 PROJECT 6 NATURAL LANGUAGE PROCESSING - E-MAIL SPAM FILTER/061 Spam Project Overview.mp4 79.6 MB
  • 07 PROJECT 5 LE-NET DEEP NETWORK - TRAFFIC SIGN CLASSIFICATION/052 Project Overview.mp4 79.1 MB
  • 09 PROJECT 7 NATURAL LANGUAGE PROCESSING - YELP REVIEWS/075 Exercise 3.mp4 77.0 MB
  • 08 PROJECT 6 NATURAL LANGUAGE PROCESSING - E-MAIL SPAM FILTER/062 Visualize Dataset.mp4 76.8 MB
  • 09 PROJECT 7 NATURAL LANGUAGE PROCESSING - YELP REVIEWS/074 Exercise 2.mp4 76.2 MB
  • 05 PROJECT 3 PROPHET TIME SERIES - CHICAGO CRIME RATE/044 Make Predictions.mp4 75.1 MB
  • 03 PROJECT 1 ARTIFICIAL NEURAL NETWORKS - CAR SALES PREDICTION/023 Model Training 2.mp4 74.9 MB
  • 03 PROJECT 1 ARTIFICIAL NEURAL NETWORKS - CAR SALES PREDICTION/020 Import Data.mp4 74.4 MB
  • 05 PROJECT 3 PROPHET TIME SERIES - CHICAGO CRIME RATE/040 Project Overview.mp4 74.4 MB
  • 03 PROJECT 1 ARTIFICIAL NEURAL NETWORKS - CAR SALES PREDICTION/019 Project Overview.mp4 73.6 MB
  • 06 PROJECT 4 PROPHET TIME SERIES - AVOCADO MARKET/046 Load Avocado Data.mp4 68.6 MB
  • 06 PROJECT 4 PROPHET TIME SERIES - AVOCADO MARKET/048 Make Predictions Part 1.mp4 68.5 MB
  • 04 PROJECT 2 DEEP NEURAL NETWORKS - CIFAR-10 CLASSIFICATION/032 Data Preparation.mp4 63.8 MB
  • 07 PROJECT 5 LE-NET DEEP NETWORK - TRAFFIC SIGN CLASSIFICATION/054 Data Exploration.mp4 62.4 MB
  • 01 INTRODUCTION TO THE COURSE [QUICK WIN IN FIRST 10-12 MINS]/001 Welcome Message.mp4 62.1 MB
  • 08 PROJECT 6 NATURAL LANGUAGE PROCESSING - E-MAIL SPAM FILTER/064 Model Training Part 1.mp4 59.1 MB
  • 04 PROJECT 2 DEEP NEURAL NETWORKS - CIFAR-10 CLASSIFICATION/030 Problem Statement.mp4 58.5 MB
  • 05 PROJECT 3 PROPHET TIME SERIES - CHICAGO CRIME RATE/041 Import Dataset.mp4 58.4 MB
  • 09 PROJECT 7 NATURAL LANGUAGE PROCESSING - YELP REVIEWS/073 Exercise 1.mp4 55.2 MB
  • 09 PROJECT 7 NATURAL LANGUAGE PROCESSING - YELP REVIEWS/078 Model Training Part 1.mp4 52.6 MB
  • 08 PROJECT 6 NATURAL LANGUAGE PROCESSING - E-MAIL SPAM FILTER/066 Testing.mp4 52.5 MB
  • 03 PROJECT 1 ARTIFICIAL NEURAL NETWORKS - CAR SALES PREDICTION/015 Theory Part 2.mp4 51.6 MB
  • 04 PROJECT 2 DEEP NEURAL NETWORKS - CIFAR-10 CLASSIFICATION/026 Theory Part 1.mp4 48.1 MB
  • 03 PROJECT 1 ARTIFICIAL NEURAL NETWORKS - CAR SALES PREDICTION/017 Theory Part 4.mp4 46.7 MB
  • 06 PROJECT 4 PROPHET TIME SERIES - AVOCADO MARKET/050 Make Prediction Part 2.1.mp4 45.0 MB
  • 01 INTRODUCTION TO THE COURSE [QUICK WIN IN FIRST 10-12 MINS]/003 Course overview.mp4 44.9 MB
  • 09 PROJECT 7 NATURAL LANGUAGE PROCESSING - YELP REVIEWS/077 Apply Count Vectorizer to Data.mp4 42.0 MB
  • 02 ANACONDA AND JUPYTER INSTALLATION/009 Download and Set up Anaconda.mp4 40.7 MB
  • 09 PROJECT 7 NATURAL LANGUAGE PROCESSING - YELP REVIEWS/080 Model Evaluation Part 1.mp4 40.0 MB
  • 09 PROJECT 7 NATURAL LANGUAGE PROCESSING - YELP REVIEWS/069 Project Overview.mp4 39.9 MB
  • 09 PROJECT 7 NATURAL LANGUAGE PROCESSING - YELP REVIEWS/079 Model Training Part 2.mp4 39.6 MB
  • 06 PROJECT 4 PROPHET TIME SERIES - AVOCADO MARKET/049 Make Predictions Part 2 (Region Specific).mp4 36.5 MB
  • 08 PROJECT 6 NATURAL LANGUAGE PROCESSING - E-MAIL SPAM FILTER/065 Model Training Part 2.mp4 35.0 MB
  • 04 PROJECT 2 DEEP NEURAL NETWORKS - CIFAR-10 CLASSIFICATION/036 Save the Model.mp4 34.2 MB
  • 07 PROJECT 5 LE-NET DEEP NETWORK - TRAFFIC SIGN CLASSIFICATION/051 Introduction.mp4 33.6 MB
  • 03 PROJECT 1 ARTIFICIAL NEURAL NETWORKS - CAR SALES PREDICTION/018 Theory Part 5.mp4 32.7 MB
  • 08 PROJECT 6 NATURAL LANGUAGE PROCESSING - E-MAIL SPAM FILTER/058 Introduction.mp4 31.3 MB
  • 05 PROJECT 3 PROPHET TIME SERIES - CHICAGO CRIME RATE/043 Prepare the Data.mp4 30.1 MB
  • 02 ANACONDA AND JUPYTER INSTALLATION/010 What is Jupyter Notebook.mp4 28.5 MB
  • 03 PROJECT 1 ARTIFICIAL NEURAL NETWORKS - CAR SALES PREDICTION/013 Introduction.mp4 26.9 MB
  • 04 PROJECT 2 DEEP NEURAL NETWORKS - CIFAR-10 CLASSIFICATION/025 Introduction.mp4 26.3 MB
  • 09 PROJECT 7 NATURAL LANGUAGE PROCESSING - YELP REVIEWS/068 Theory.mp4 25.9 MB
  • 10 PROJECT 8 USER-BASED COLLABORATIVE FILTERING - MOVIE RECOMMENDER SYSTEM/084 Project Overview.mp4 24.3 MB
  • 01 INTRODUCTION TO THE COURSE [QUICK WIN IN FIRST 10-12 MINS]/002 Updates on Udemy Reviews.mp4 24.2 MB
  • 09 PROJECT 7 NATURAL LANGUAGE PROCESSING - YELP REVIEWS/067 Introduction.mp4 21.5 MB
  • 05 PROJECT 3 PROPHET TIME SERIES - CHICAGO CRIME RATE/039 Introduction.mp4 21.4 MB
  • 10 PROJECT 8 USER-BASED COLLABORATIVE FILTERING - MOVIE RECOMMENDER SYSTEM/082 Introduction.mp4 16.1 MB
  • 06 PROJECT 4 PROPHET TIME SERIES - AVOCADO MARKET/045 Introduction.mp4 15.8 MB
  • 05 PROJECT 3 PROPHET TIME SERIES - CHICAGO CRIME RATE/042 Data Vizualization.en.srt 42.0 kB
  • 07 PROJECT 5 LE-NET DEEP NETWORK - TRAFFIC SIGN CLASSIFICATION/056 Model Training.en.srt 39.6 kB
  • 10 PROJECT 8 USER-BASED COLLABORATIVE FILTERING - MOVIE RECOMMENDER SYSTEM/087 Collaborative Filter One Movie.en.srt 32.9 kB
  • 10 PROJECT 8 USER-BASED COLLABORATIVE FILTERING - MOVIE RECOMMENDER SYSTEM/086 Visualize Dataset.en.srt 31.9 kB
  • 03 PROJECT 1 ARTIFICIAL NEURAL NETWORKS - CAR SALES PREDICTION/021 Data Visualization Cleaning.en.srt 31.1 kB
  • 07 PROJECT 5 LE-NET DEEP NETWORK - TRAFFIC SIGN CLASSIFICATION/057 Model Evaluation.en.srt 30.9 kB
  • 03 PROJECT 1 ARTIFICIAL NEURAL NETWORKS - CAR SALES PREDICTION/022 Model Training 1.en.srt 28.0 kB
  • 04 PROJECT 2 DEEP NEURAL NETWORKS - CIFAR-10 CLASSIFICATION/027 Theory Part 2.en.srt 27.9 kB
  • 09 PROJECT 7 NATURAL LANGUAGE PROCESSING - YELP REVIEWS/071 Visualize Dataset Part 1.en.srt 27.8 kB
  • 08 PROJECT 6 NATURAL LANGUAGE PROCESSING - E-MAIL SPAM FILTER/059 Naive Bayes Theory Part 1.en.srt 26.8 kB
  • 04 PROJECT 2 DEEP NEURAL NETWORKS - CIFAR-10 CLASSIFICATION/033 Model Training Part 1.en.srt 26.1 kB
  • 04 PROJECT 2 DEEP NEURAL NETWORKS - CIFAR-10 CLASSIFICATION/029 Theory Part 4.en.srt 25.1 kB
  • 01 INTRODUCTION TO THE COURSE [QUICK WIN IN FIRST 10-12 MINS]/004 ML vs. DL vs. AI.en.srt 25.1 kB
  • 08 PROJECT 6 NATURAL LANGUAGE PROCESSING - E-MAIL SPAM FILTER/060 Naive Bayes Theory Part 2.en.srt 24.3 kB
  • 04 PROJECT 2 DEEP NEURAL NETWORKS - CIFAR-10 CLASSIFICATION/037 Image Augmentation Part 1.en.srt 23.6 kB
  • 10 PROJECT 8 USER-BASED COLLABORATIVE FILTERING - MOVIE RECOMMENDER SYSTEM/085 Import Movie Dataset.en.srt 23.3 kB
  • 08 PROJECT 6 NATURAL LANGUAGE PROCESSING - E-MAIL SPAM FILTER/063 Count Vectorizer.en.srt 22.2 kB
  • 06 PROJECT 4 PROPHET TIME SERIES - AVOCADO MARKET/047 Explore Dataset.en.srt 22.0 kB
  • 09 PROJECT 7 NATURAL LANGUAGE PROCESSING - YELP REVIEWS/070 Load Dataset.en.srt 21.9 kB
  • 07 PROJECT 5 LE-NET DEEP NETWORK - TRAFFIC SIGN CLASSIFICATION/055 Data Normalization.en.srt 21.8 kB
  • 04 PROJECT 2 DEEP NEURAL NETWORKS - CIFAR-10 CLASSIFICATION/031 Data Vizualization.en.srt 21.7 kB
  • 09 PROJECT 7 NATURAL LANGUAGE PROCESSING - YELP REVIEWS/076 Apply NLP to Data.en.srt 21.5 kB
  • 04 PROJECT 2 DEEP NEURAL NETWORKS - CIFAR-10 CLASSIFICATION/035 Model Evaluation.en.srt 21.4 kB
  • 04 PROJECT 2 DEEP NEURAL NETWORKS - CIFAR-10 CLASSIFICATION/028 Theory Part 3.en.srt 20.9 kB
  • 01 INTRODUCTION TO THE COURSE [QUICK WIN IN FIRST 10-12 MINS]/005 ML Deep Dive.en.srt 20.9 kB
  • 03 PROJECT 1 ARTIFICIAL NEURAL NETWORKS - CAR SALES PREDICTION/014 Theory Part 1.en.srt 20.1 kB
  • 10 PROJECT 8 USER-BASED COLLABORATIVE FILTERING - MOVIE RECOMMENDER SYSTEM/088 Full Movie Recomendation.en.srt 19.5 kB
  • 04 PROJECT 2 DEEP NEURAL NETWORKS - CIFAR-10 CLASSIFICATION/034 Model Training Part 2.en.srt 19.1 kB
  • 09 PROJECT 7 NATURAL LANGUAGE PROCESSING - YELP REVIEWS/081 Model Evaluation Part 2.en.srt 19.1 kB
  • 04 PROJECT 2 DEEP NEURAL NETWORKS - CIFAR-10 CLASSIFICATION/038 Image augmentation Part 2.en.srt 18.8 kB
  • 07 PROJECT 5 LE-NET DEEP NETWORK - TRAFFIC SIGN CLASSIFICATION/053 Load Data.en.srt 18.6 kB
  • 03 PROJECT 1 ARTIFICIAL NEURAL NETWORKS - CAR SALES PREDICTION/024 Model Evaluation.en.srt 18.6 kB
  • 09 PROJECT 7 NATURAL LANGUAGE PROCESSING - YELP REVIEWS/075 Exercise 3.en.srt 17.1 kB
  • 09 PROJECT 7 NATURAL LANGUAGE PROCESSING - YELP REVIEWS/074 Exercise 2.en.srt 16.9 kB
  • 02 ANACONDA AND JUPYTER INSTALLATION/012 How to run a Jupyter Notebook.en.srt 16.8 kB
  • 06 PROJECT 4 PROPHET TIME SERIES - AVOCADO MARKET/048 Make Predictions Part 1.en.srt 16.3 kB
  • 09 PROJECT 7 NATURAL LANGUAGE PROCESSING - YELP REVIEWS/072 Visualize Dataset Part 2.en.srt 16.1 kB
  • 03 PROJECT 1 ARTIFICIAL NEURAL NETWORKS - CAR SALES PREDICTION/016 Theory Part 3.en.srt 15.9 kB
  • 08 PROJECT 6 NATURAL LANGUAGE PROCESSING - E-MAIL SPAM FILTER/062 Visualize Dataset.en.srt 15.7 kB
  • 03 PROJECT 1 ARTIFICIAL NEURAL NETWORKS - CAR SALES PREDICTION/023 Model Training 2.en.srt 15.4 kB
  • 04 PROJECT 2 DEEP NEURAL NETWORKS - CIFAR-10 CLASSIFICATION/032 Data Preparation.en.srt 15.1 kB
  • 08 PROJECT 6 NATURAL LANGUAGE PROCESSING - E-MAIL SPAM FILTER/061 Spam Project Overview.en.srt 15.1 kB
  • 09 PROJECT 7 NATURAL LANGUAGE PROCESSING - YELP REVIEWS/073 Exercise 1.en.srt 15.1 kB
  • 03 PROJECT 1 ARTIFICIAL NEURAL NETWORKS - CAR SALES PREDICTION/020 Import Data.en.srt 14.8 kB
  • 08 PROJECT 6 NATURAL LANGUAGE PROCESSING - E-MAIL SPAM FILTER/064 Model Training Part 1.en.srt 14.3 kB
  • 06 PROJECT 4 PROPHET TIME SERIES - AVOCADO MARKET/046 Load Avocado Data.en.srt 13.7 kB
  • 07 PROJECT 5 LE-NET DEEP NETWORK - TRAFFIC SIGN CLASSIFICATION/052 Project Overview.en.srt 13.5 kB
  • 10 PROJECT 8 USER-BASED COLLABORATIVE FILTERING - MOVIE RECOMMENDER SYSTEM/083 Theory.en.srt 13.5 kB
  • 04 PROJECT 2 DEEP NEURAL NETWORKS - CIFAR-10 CLASSIFICATION/030 Problem Statement.en.srt 13.0 kB
  • 01 INTRODUCTION TO THE COURSE [QUICK WIN IN FIRST 10-12 MINS]/003 Course overview.en.srt 12.9 kB
  • 05 PROJECT 3 PROPHET TIME SERIES - CHICAGO CRIME RATE/044 Make Predictions.en.srt 12.9 kB
  • 07 PROJECT 5 LE-NET DEEP NETWORK - TRAFFIC SIGN CLASSIFICATION/054 Data Exploration.en.srt 12.6 kB
  • 09 PROJECT 7 NATURAL LANGUAGE PROCESSING - YELP REVIEWS/078 Model Training Part 1.en.srt 12.1 kB
  • 03 PROJECT 1 ARTIFICIAL NEURAL NETWORKS - CAR SALES PREDICTION/015 Theory Part 2.en.srt 11.4 kB
  • 08 PROJECT 6 NATURAL LANGUAGE PROCESSING - E-MAIL SPAM FILTER/066 Testing.en.srt 11.1 kB
  • 05 PROJECT 3 PROPHET TIME SERIES - CHICAGO CRIME RATE/041 Import Dataset.en.srt 11.1 kB
  • 05 PROJECT 3 PROPHET TIME SERIES - CHICAGO CRIME RATE/040 Project Overview.en.srt 10.5 kB
  • 03 PROJECT 1 ARTIFICIAL NEURAL NETWORKS - CAR SALES PREDICTION/017 Theory Part 4.en.srt 10.5 kB
  • 03 PROJECT 1 ARTIFICIAL NEURAL NETWORKS - CAR SALES PREDICTION/019 Project Overview.en.srt 10.5 kB
  • 09 PROJECT 7 NATURAL LANGUAGE PROCESSING - YELP REVIEWS/080 Model Evaluation Part 1.en.srt 9.7 kB
  • 06 PROJECT 4 PROPHET TIME SERIES - AVOCADO MARKET/050 Make Prediction Part 2.1.en.srt 9.4 kB
  • 04 PROJECT 2 DEEP NEURAL NETWORKS - CIFAR-10 CLASSIFICATION/026 Theory Part 1.en.srt 9.0 kB
  • 09 PROJECT 7 NATURAL LANGUAGE PROCESSING - YELP REVIEWS/069 Project Overview.en.srt 8.9 kB
  • 06 PROJECT 4 PROPHET TIME SERIES - AVOCADO MARKET/049 Make Predictions Part 2 (Region Specific).en.srt 8.5 kB
  • 09 PROJECT 7 NATURAL LANGUAGE PROCESSING - YELP REVIEWS/079 Model Training Part 2.en.srt 8.2 kB
  • 03 PROJECT 1 ARTIFICIAL NEURAL NETWORKS - CAR SALES PREDICTION/018 Theory Part 5.en.srt 8.2 kB
  • 08 PROJECT 6 NATURAL LANGUAGE PROCESSING - E-MAIL SPAM FILTER/065 Model Training Part 2.en.srt 7.4 kB
  • 05 PROJECT 3 PROPHET TIME SERIES - CHICAGO CRIME RATE/043 Prepare the Data.en.srt 6.8 kB
  • 02 ANACONDA AND JUPYTER INSTALLATION/009 Download and Set up Anaconda.en.srt 6.6 kB
  • 04 PROJECT 2 DEEP NEURAL NETWORKS - CIFAR-10 CLASSIFICATION/036 Save the Model.en.srt 6.6 kB
  • 09 PROJECT 7 NATURAL LANGUAGE PROCESSING - YELP REVIEWS/077 Apply Count Vectorizer to Data.en.srt 6.5 kB
  • 10 PROJECT 8 USER-BASED COLLABORATIVE FILTERING - MOVIE RECOMMENDER SYSTEM/084 Project Overview.en.srt 5.4 kB
  • 02 ANACONDA AND JUPYTER INSTALLATION/010 What is Jupyter Notebook.en.srt 5.3 kB
  • 09 PROJECT 7 NATURAL LANGUAGE PROCESSING - YELP REVIEWS/068 Theory.en.srt 4.8 kB
  • 01 INTRODUCTION TO THE COURSE [QUICK WIN IN FIRST 10-12 MINS]/001 Welcome Message.en.srt 4.4 kB
  • 01 INTRODUCTION TO THE COURSE [QUICK WIN IN FIRST 10-12 MINS]/008 BONUS 5 Benefits of Jupyter Notebook.html 3.0 kB
  • 07 PROJECT 5 LE-NET DEEP NETWORK - TRAFFIC SIGN CLASSIFICATION/051 Introduction.en.srt 2.1 kB
  • 11 Bonus Lectures/089 YOUR SPECIAL BONUS.html 2.0 kB
  • 01 INTRODUCTION TO THE COURSE [QUICK WIN IN FIRST 10-12 MINS]/007 BONUS ML vs DL vs AI.html 1.9 kB
  • 08 PROJECT 6 NATURAL LANGUAGE PROCESSING - E-MAIL SPAM FILTER/058 Introduction.en.srt 1.9 kB
  • 01 INTRODUCTION TO THE COURSE [QUICK WIN IN FIRST 10-12 MINS]/002 Updates on Udemy Reviews.en.srt 1.7 kB
  • 03 PROJECT 1 ARTIFICIAL NEURAL NETWORKS - CAR SALES PREDICTION/013 Introduction.en.srt 1.6 kB
  • 04 PROJECT 2 DEEP NEURAL NETWORKS - CIFAR-10 CLASSIFICATION/025 Introduction.en.srt 1.5 kB
  • 05 PROJECT 3 PROPHET TIME SERIES - CHICAGO CRIME RATE/039 Introduction.en.srt 1.4 kB
  • 09 PROJECT 7 NATURAL LANGUAGE PROCESSING - YELP REVIEWS/067 Introduction.en.srt 1.4 kB
  • 01 INTRODUCTION TO THE COURSE [QUICK WIN IN FIRST 10-12 MINS]/006 Download Course Materials.html 1.2 kB
  • 10 PROJECT 8 USER-BASED COLLABORATIVE FILTERING - MOVIE RECOMMENDER SYSTEM/082 Introduction.en.srt 1.1 kB
  • 02 ANACONDA AND JUPYTER INSTALLATION/011 Install Tensorflow.html 1.1 kB
  • 06 PROJECT 4 PROPHET TIME SERIES - AVOCADO MARKET/045 Introduction.en.srt 1.0 kB
  • 0. Websites you may like/[FCS Forum].url 133 Bytes
  • 0. Websites you may like/[FreeCourseSite.com].url 127 Bytes
  • 0. Websites you may like/[CourseClub.ME].url 122 Bytes

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