[DesireCourse.Net] Udemy - Machine Learning - A-Z™ Full Course

磁力链接/BT种子名称

[DesireCourse.Net] Udemy - Machine Learning - A-Z™ Full Course

磁力链接/BT种子简介

种子哈希：691f3f18eb9b5bf9c744bcb953e23a0c797da9f3
文件大小： 6.12G
已经下载：1060次
下载速度：极快
收录时间：2021-05-28
最近下载：2025-11-15

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磁力链接下载

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文件列表

  • 2. Machine Learning using R/4. Complete Machine Learning Course.mp4 944.4 MB
  • 2. Machine Learning using R/8. Random Forest Tutorial.mp4 540.0 MB
  • 2. Machine Learning using R/10. Sentiment Analysis in R.mp4 422.8 MB
  • 2. Machine Learning using R/5. Machine Learning Algorithms.mp4 393.4 MB
  • 3. Machine Learning using Python/2. Logistic Regression in Python.mp4 382.6 MB
  • 3. Machine Learning using Python/9. Reinforcement Learning.mp4 345.4 MB
  • 3. Machine Learning using Python/3. Decision Tree Algorithm.mp4 331.5 MB
  • 2. Machine Learning using R/3. Machine Learning with R Machine.mp4 315.6 MB
  • 2. Machine Learning using R/11. Data Mining using R.mp4 313.8 MB
  • 3. Machine Learning using Python/6. Time Series Analysis.mp4 283.2 MB
  • 2. Machine Learning using R/9. Support Vector.mp4 231.4 MB
  • 3. Machine Learning using Python/11. Probabilistic Graphical Models.mp4 212.5 MB
  • 3. Machine Learning using Python/4. K Means Clustering Algorithm K Means Example in Python.mp4 211.7 MB
  • 3. Machine Learning using Python/12. Machine Learning Projects.mp4 208.7 MB
  • 3. Machine Learning using Python/5. Naive Bayes Classifier in Python.mp4 208.0 MB
  • 2. Machine Learning using R/6. Linear Regression Algorithm.mp4 196.0 MB
  • 2. Machine Learning using R/7. Linear Regression vs Logistic Regression.mp4 159.8 MB
  • 3. Machine Learning using Python/10. Q Learning Explained Reinforcement Learning.mp4 149.5 MB
  • 2. Machine Learning using R/13. Boosting Machine Learning.mp4 146.7 MB
  • 2. Machine Learning using R/2. Data Science vs Machine Learning.mp4 132.9 MB
  • 2. Machine Learning using R/12. Apriori Algorithm Explained Association Rule Mining Finding Frequent Itemset.mp4 107.2 MB
  • 2. Machine Learning using R/1. Machine Learning Basics.mp4 96.6 MB
  • 3. Machine Learning using Python/1. R vs Python.mp4 65.1 MB
  • 3. Machine Learning using Python/8. A Quick Guide To Sentiment Analysis.mp4 58.7 MB
  • 4. Projects in ML/3.1 (Adaptive Computation and Machine Learning) Ethem Alpaydin - Introduction to Machine Learning -The MIT Press (2004).pdf.pdf 37.9 MB
  • 3. Machine Learning using Python/7. Twitter Sentiment Analysis.mp4 30.4 MB
  • 2. Machine Learning using R/13.1 (The Morgan Kaufmann series in machine learning).pdf.pdf 10.9 MB
  • 1. Introduction/1. Introduction.mp4 8.9 MB
  • 4. Projects in ML/1.1 Adaptive Computation and Machine Learning.pdf.pdf 6.9 MB
  • 3. Machine Learning using Python/12.1 Olivier Bousquet, Ulrike von Luxburg, Gunnar Rätsch.pdf.pdf 5.3 MB
  • 4. Projects in ML/2.1 (Information science and statistics) Christopher M. Bishop - Pattern Recognition and Machine Learning-Springer (2006).pdf.pdf 4.7 MB
  • 4. Projects in ML/2.1 Information science and statistics.pdf.pdf 4.7 MB
  • 2. Machine Learning using R/4. Complete Machine Learning Course.vtt 153.2 kB
  • 3. Machine Learning using Python/2. Logistic Regression in Python.vtt 74.8 kB
  • 3. Machine Learning using Python/9. Reinforcement Learning.vtt 70.0 kB
  • 3. Machine Learning using Python/3. Decision Tree Algorithm.vtt 65.8 kB
  • 2. Machine Learning using R/10. Sentiment Analysis in R.vtt 62.3 kB
  • 2. Machine Learning using R/5. Machine Learning Algorithms.vtt 60.5 kB
  • 3. Machine Learning using Python/6. Time Series Analysis.vtt 58.1 kB
  • 2. Machine Learning using R/3. Machine Learning with R Machine.vtt 53.2 kB
  • 2. Machine Learning using R/11. Data Mining using R.vtt 46.1 kB
  • 4. Projects in ML/9. Speech Recognition.html 44.2 kB
  • 2. Machine Learning using R/9. Support Vector.vtt 41.4 kB
  • 3. Machine Learning using Python/11. Probabilistic Graphical Models.vtt 40.6 kB
  • 2. Machine Learning using R/6. Linear Regression Algorithm.vtt 38.8 kB
  • 3. Machine Learning using Python/12. Machine Learning Projects.vtt 38.2 kB
  • 3. Machine Learning using Python/5. Naive Bayes Classifier in Python.vtt 37.6 kB
  • 3. Machine Learning using Python/10. Q Learning Explained Reinforcement Learning.vtt 35.6 kB
  • 4. Projects in ML/8. Predict the Weather.html 34.6 kB
  • 2. Machine Learning using R/7. Linear Regression vs Logistic Regression.vtt 28.8 kB
  • 2. Machine Learning using R/13. Boosting Machine Learning.vtt 27.8 kB
  • 2. Machine Learning using R/2. Data Science vs Machine Learning.vtt 22.6 kB
  • 2. Machine Learning using R/12. Apriori Algorithm Explained Association Rule Mining Finding Frequent Itemset.vtt 21.5 kB
  • 2. Machine Learning using R/1. Machine Learning Basics.vtt 19.0 kB
  • 4. Projects in ML/4. Forecasting Website Traffic Using Facebook’s Prophet Library.html 14.8 kB
  • 4. Projects in ML/6. Digit Recognition.html 14.1 kB
  • 4. Projects in ML/3. BluEX.html 13.9 kB
  • 4. Projects in ML/7. Predicting Google’s Stock Price.html 10.8 kB
  • 3. Machine Learning using Python/8. A Quick Guide To Sentiment Analysis.vtt 10.5 kB
  • 4. Projects in ML/12. Projects For Practise.html 9.8 kB
  • 4. Projects in ML/11. Top Projects for Bieng Expert.html 9.2 kB
  • 4. Projects in ML/5. Face Recognition with Python.html 9.1 kB
  • 3. Machine Learning using Python/1. R vs Python.vtt 9.0 kB
  • 4. Projects in ML/2. Lithion power.html 7.6 kB
  • 4. Projects in ML/1. First project Motion Studio.html 7.3 kB
  • 4. Projects in ML/10. More ideas For projects.html 7.2 kB
  • 3. Machine Learning using Python/7. Twitter Sentiment Analysis.vtt 5.2 kB
  • 1. Introduction/2. 1.html 3.7 kB
  • 1. Introduction/1. Introduction.vtt 723 Bytes
  • [DesireCourse.Net].url 51 Bytes
  • [CourseClub.Me].url 48 Bytes

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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！