[FreeCourseSite.com] Udemy - Machine Learning A-Z™ Hands-On Python & R In Data Science

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文件数目：571个文件
文件大小：6.33 GB
收录时间：2019-09-03
访问次数：4
相关内容：FreeCourseSite Udemy Machine Learning A-Z™Hands-On Python Data Science

文件meta

1. Welcome to the course!/6.1 Machine_Learning_A-Z_New.zip.zip
228.44 MB
36. Kernel PCA/3. Kernel PCA in R.mp4
56.57 MB
1. Welcome to the course!/7. Updates on Udemy Reviews.vtt
52.93 MB
1. Welcome to the course!/7. Updates on Udemy Reviews.mp4
52.92 MB
39. XGBoost/5. THANK YOU bonus video.mp4
52.24 MB
12. Logistic Regression/13. Logistic Regression in R - Step 5.mp4
51.68 MB
35. Linear Discriminant Analysis (LDA)/4. LDA in R.mp4
51.29 MB
17. Decision Tree Classification/4. Decision Tree Classification in R.mp4
51.18 MB
18. Random Forest Classification/4. Random Forest Classification in R.mp4
49.39 MB
31. Artificial Neural Networks/13. ANN in Python - Step 2.mp4
48.09 MB
39. XGBoost/4. XGBoost in R.mp4
47.26 MB
27. Upper Confidence Bound (UCB)/10. Upper Confidence Bound in R - Step 3.mp4
47.2 MB
18. Random Forest Classification/3. Random Forest Classification in Python.mp4
47.15 MB
32. Convolutional Neural Networks/20. CNN in Python - Step 9.mp4
46.85 MB
7. Support Vector Regression (SVR)/2. SVR Intuition.mp4
46.59 MB
7. Support Vector Regression (SVR)/3. SVR in Python.mp4
46.18 MB
35. Linear Discriminant Analysis (LDA)/3. LDA in Python.mp4
45.42 MB
8. Decision Tree Regression/4. Decision Tree Regression in R.mp4
44.37 MB
16. Naive Bayes/1. Bayes Theorem.mp4
43.9 MB
24. Apriori/5. Apriori in R - Step 3.mp4
43.84 MB
38. Model Selection/3. k-Fold Cross Validation in R.mp4
43.63 MB
6. Polynomial Regression/10. Polynomial Regression in R - Step 3.mp4
43.31 MB
28. Thompson Sampling/4. Thompson Sampling in Python - Step 1.mp4
43.13 MB
6. Polynomial Regression/5. Polynomial Regression in Python - Step 3.vtt
42.99 MB
6. Polynomial Regression/5. Polynomial Regression in Python - Step 3.mp4
42.98 MB
24. Apriori/3. Apriori in R - Step 1.vtt
42.89 MB
24. Apriori/3. Apriori in R - Step 1.mp4
42.87 MB
32. Convolutional Neural Networks/7. Step 4 - Full Connection.mp4
42.75 MB
12. Logistic Regression/7. Logistic Regression in Python - Step 5.mp4
42.55 MB
15. Kernel SVM/6. Kernel SVM in Python.mp4
41.62 MB
13. K-Nearest Neighbors (K-NN)/4. K-NN in R.mp4
41.37 MB
29. -------------------- Part 7 Natural Language Processing --------------------/24. Natural Language Processing in R - Step 10.mp4
41.19 MB
27. Upper Confidence Bound (UCB)/6. Upper Confidence Bound in Python - Step 3.mp4
41.11 MB
28. Thompson Sampling/6. Thompson Sampling in R - Step 1.mp4
40.93 MB
2. -------------------- Part 1 Data Preprocessing --------------------/7. Categorical Data.mp4
40.79 MB
15. Kernel SVM/7. Kernel SVM in R.mp4
40.45 MB
29. -------------------- Part 7 Natural Language Processing --------------------/15. Natural Language Processing in R - Step 1.mp4
40.38 MB
29. -------------------- Part 7 Natural Language Processing --------------------/15. Natural Language Processing in R - Step 1.vtt
40.38 MB
9. Random Forest Regression/4. Random Forest Regression in R.mp4
40.34 MB
32. Convolutional Neural Networks/5. Step 2 - Pooling.mp4
40.24 MB
21. K-Means Clustering/5. K-Means Clustering in Python.mp4
39.77 MB
5. Multiple Linear Regression/19. Multiple Linear Regression in R - Backward Elimination - HOMEWORK !.mp4
39.73 MB
5. Multiple Linear Regression/9. Multiple Linear Regression in Python - Step 1.mp4
39.56 MB
29. -------------------- Part 7 Natural Language Processing --------------------/11. Natural Language Processing in Python - Step 8.mp4
39.48 MB
9. Random Forest Regression/3. Random Forest Regression in Python.mp4
39.47 MB
2. -------------------- Part 1 Data Preprocessing --------------------/9. Splitting the Dataset into the Training set and Test set.mp4
39.03 MB
31. Artificial Neural Networks/22. ANN in R - Step 1.mp4
38.55 MB
38. Model Selection/4. Grid Search in Python - Step 1.mp4
38.21 MB
24. Apriori/6. Apriori in Python - Step 1.mp4
37.97 MB
4. Simple Linear Regression/12. Simple Linear Regression in R - Step 4.mp4
37.37 MB