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1. Welcome to the course!/6.1 Machine_Learning_A-Z_New.zip.zip 239.5 MB
36. Kernel PCA/3. Kernel PCA in R.mp4 59.3 MB
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35. Linear Discriminant Analysis (LDA)/4. LDA in R.mp4 53.8 MB
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32. Convolutional Neural Networks/20. CNN in Python - Step 9.mp4 49.1 MB
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1. Welcome to the course!/6.1 Machine_Learning_A-Z_New.zip 239.5 MB
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1. Welcome to the course!/7. Updates on Udemy Reviews.mp4 55.5 MB
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35. Linear Discriminant Analysis (LDA)/4. LDA in R.mp4 53.8 MB
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18. Random Forest Classification/4. Random Forest Classification in R.mp4 51.8 MB
31. Artificial Neural Networks/13. ANN in Python - Step 2.mp4 50.4 MB
39. XGBoost/4. XGBoost in R.mp4 49.6 MB
27. Upper Confidence Bound (UCB)/10. Upper Confidence Bound in R - Step 3.mp4 49.5 MB
18. Random Forest Classification/3. Random Forest Classification in Python.mp4 49.4 MB
32. Convolutional Neural Networks/20. CNN in Python - Step 9.mp4 49.1 MB
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7. Support Vector Regression (SVR)/3. SVR in Python.mp4 48.4 MB
35. Linear Discriminant Analysis (LDA)/3. LDA in Python.mp4 47.6 MB
8. Decision Tree Regression/4. Decision Tree Regression in R.mp4 46.5 MB
16. Naive Bayes/1. Bayes Theorem.mp4 46.0 MB
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10. Building Apps With Machine Learning/3. Introduction to Tensorflow Lite.vtt 14.1 kB
11. Text Summarizer/1. Introduction.mp4 21.2 MB
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11. Text Summarizer/4. Exploring Training and Summarizing Code.vtt 10.5 kB
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[TutsNode.net] - Google Advanced Data Analytics Professional Certificate/go-beyond-the-numbers-translate-data-into-insight/04_data-visualizations-and-presentations/01_present-a-story/04_follow-along-instructions-data-visualizations-and-presentations-with-tableau_tableau_datasets.zip 124.9 MB
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31 Artificial Neural Networks.rar 530.5 MB
29 -------------------- Part 7 Natural Language Processing --------------------.rar 469.8 MB
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32 Convolutional Neural Networks.rar 370.7 MB
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27 Upper Confidence Bound (UCB).rar 314.9 MB
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