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

磁力链接/BT种子名称

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

磁力链接/BT种子简介

种子哈希：f00678e6a112a5bdd12c3e00c5e431e9ffb56c3b
文件大小： 6.38G
已经下载：386次
下载速度：极快
收录时间：2021-03-28
最近下载：2025-06-18

移花宫入口

移花宫.com邀月.com怜星.com花无缺.comyhgbt.icuyhgbt.top

磁力链接下载

magnet:?xt=urn:btih:F00678E6A112A5BDD12C3E00C5E431E9FFB56C3B
推荐使用PIKPAK网盘下载资源，10TB超大空间，不限制资源，无限次数离线下载，视频在线观看

下载BT种子文件

磁力链接 迅雷下载 PIKPAK在线播放 世界之窗 91视频 含羞草 欲漫涩 逼哩逼哩 成人快手 51品茶 抖阴破解版 极乐禁地 91短视频 抖音Max TikTok成人版 PornHub 听泉鉴鲍 少女日记 草榴社区 哆哔涩漫 呦乐园 萝莉岛 悠悠禁区 悠悠禁区 拔萝卜 疯马秀

最近搜索

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

随机展示

相关说明

本站不存储任何资源内容，只收集BT种子元数据(例如文件名和文件大小)和磁力链接(BT种子标识符)，并提供查询服务，是一个完全合法的搜索引擎系统。 网站不提供种子下载服务，用户可以通过第三方链接或磁力链接获取到相关的种子资源。本站也不对BT种子真实性及合法性负责，请用户注意甄别！