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

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文件数目：614个文件
文件大小：11.84 GB
收录时间：2021-05-10
访问次数：3
相关内容：Tutorialsplanet Udemy Machine Learning A-Z™Hands-On Python Data Science

文件meta

37. Convolutional Neural Networks/10.1 Section 40 - Convolutional Neural Networks (CNN).zip
224.05 MB
26. K-Means Clustering/6. K-Means Clustering in Python - Step 2.srt
167.3 MB
29. Apriori/6. Apriori in Python - Step 4.mp4
164.33 MB
37. Convolutional Neural Networks/16. CNN in Python - FINAL DEMO!.mp4
152.78 MB
43. Model Selection/3. Grid Search in Python.mp4
151.78 MB
17. K-Nearest Neighbors (K-NN)/3. K-NN in Python.mp4
146.62 MB
22. Random Forest Classification/3. Random Forest Classification in Python.srt
142.49 MB
23. Classification Model Selection in Python/2. THE ULTIMATE DEMO OF THE POWERFUL CLASSIFICATION CODE TEMPLATES IN ACTION!.mp4
136 MB
27. Hierarchical Clustering/7. Hierarchical Clustering in Python - Step 2.mp4
135.93 MB
13. Regression Model Selection in Python/2. Preparation of the Regression Code Templates.mp4
123.59 MB
26. K-Means Clustering/9. K-Means Clustering in Python - Step 5.mp4
120.51 MB
16. Logistic Regression/9. Logistic Regression in Python - Step 7.mp4
118.62 MB
37. Convolutional Neural Networks/13. CNN in Python - Step 3.mp4
118.59 MB
39. Principal Component Analysis (PCA)/3. PCA in Python - Step 1.mp4
112.91 MB
43. Model Selection/2. k-Fold Cross Validation in Python.mp4
112.37 MB
36. Artificial Neural Networks/13. ANN in Python - Step 2.mp4
111.03 MB
21. Decision Tree Classification/3. Decision Tree Classification in Python.mp4
108.05 MB
29. Apriori/4. Apriori in Python - Step 2.mp4
107.7 MB
37. Convolutional Neural Networks/12. CNN in Python - Step 2.mp4
106.88 MB
18. Support Vector Machine (SVM)/4. SVM in Python.mp4
104.76 MB
34/5. Bag-Of-Words Model.mp4
103.5 MB
40. Linear Discriminant Analysis (LDA)/3. LDA in Python.mp4
102 MB
3. Data Preprocessing in Python/9. Feature Scaling.mp4
101.72 MB
36. Artificial Neural Networks/16. ANN in Python - Step 5.mp4
101.35 MB
20. Naive Bayes/6. Naive Bayes in Python.mp4
100.46 MB
37. Convolutional Neural Networks/15. CNN in Python - Step 5.mp4
97.68 MB
22. Random Forest Classification/3. Random Forest Classification in Python.mp4
96.69 MB
1. Welcome to the course!/9. Presentation of the ML A-Z folder, Colaboratory, Jupyter Notebook and Spyder.mp4
94.8 MB
16. Logistic Regression/15. Logistic Regression in R - Step 5.mp4
93.77 MB
9. Support Vector Regression (SVR)/8. SVR in Python - Step 5.mp4
93.64 MB
44. XGBoost/2. XGBoost in Python.mp4
89.99 MB
34/11. Natural Language Processing in Python - Step 5.mp4
89.63 MB
3. Data Preprocessing in Python/7. Encoding Categorical Data.mp4
88.63 MB
19. Kernel SVM/7. Kernel SVM in Python.mp4
88.37 MB
9. Support Vector Regression (SVR)/5. SVR in Python - Step 2.mp4
86.92 MB
4. Data Preprocessing in R/8. Splitting the dataset into the Training set and Test set.mp4
86.5 MB
32. Upper Confidence Bound (UCB)/7. Upper Confidence Bound in Python - Step 4.mp4
85.38 MB
16. Logistic Regression/4. Logistic Regression in Python - Step 2.mp4
84.67 MB
34/4. Classical vs Deep Learning Models.mp4
83.96 MB
20. Naive Bayes/7. Naive Bayes in R.srt
82.32 MB
26. K-Means Clustering/7. K-Means Clustering in Python - Step 3.mp4
81.34 MB
4. Data Preprocessing in R/9. Feature Scaling.mp4
78.89 MB
33. Thompson Sampling/6. Thompson Sampling in Python - Step 3.mp4
78.66 MB
8. Polynomial Regression/5. Polynomial Regression in Python - Step 3.mp4
77.86 MB
41. Kernel PCA/2. Kernel PCA in Python.mp4
77.51 MB
30. Eclat/3. Eclat in Python.mp4
75.55 MB
27. Hierarchical Clustering/8. Hierarchical Clustering in Python - Step 3.mp4
75.29 MB
36. Artificial Neural Networks/14. ANN in Python - Step 3.mp4
75.08 MB
6. Simple Linear Regression/7. Simple Linear Regression in Python - Step 4.mp4
74.58 MB
11. Random Forest Regression/3. Random Forest Regression in Python.mp4
74.4 MB