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[Tutorialsplanet.NET] Udemy - Machine Learning - A-Z™ Full Course
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[Tutorialsplanet.NET] Udemy - Machine Learning - A-Z™ Full Course
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种子哈希:
e9344a5530ecb92c60cbfd4b7aa67bd98b23e97e
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2024-07-04
最近下载:
2025-08-02
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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
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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