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文档列表

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
1. Introduction/1. Introduction.mp4 9.0 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
2. Machine Learning using R/4. Complete Machine Learning Course.vtt 153.2 kB
2. Machine Learning using R/8. Random Forest Tutorial.vtt 77.5 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
[Tutorialsplanet.NET].url 128 Bytes

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