[GigaCourse.Com] Udemy - Machine Learning A-Z™ - AI, Python & R + ChatGPT Bonus [2023]

1. 41 - Kernel PCA/372 - Kernel PCA in R.mp4 408.90 MB
2. 29 - Apriori/271 - Apriori in R Step 3.mp4 275.48 MB
3. 36 - Artificial Neural Networks/339 - ANN in R Step 1.mp4 233.09 MB
4. 37 - Convolutional Neural Networks/345 - dataset.zip 226.59 MB
5. 36 - Artificial Neural Networks/341 - ANN in R Step 3.mp4 207.57 MB
6. 20 - Naive Bayes/197 - Bayes Theorem.mp4 199.90 MB
7. 29 - Apriori/268 - Apriori in Python Step 4.mp4 197.09 MB
8. 43 - Model Selection/375 - Grid Search in Python.mp4 192.20 MB
9. 37 - Convolutional Neural Networks/359 - CNN in Python FINAL DEMO.mp4 190.55 MB
10. 35 - Part 8 Deep Learning/324 - What is Deep Learning.mp4 182.44 MB
11. 39 - Principal Component Analysis PCA/365 - PCA in R Step 1.mp4 180.01 MB
12. 37 - Convolutional Neural Networks/355 - CNN in Python Step 2.mp4 178.63 MB
13. 40 - Linear Discriminant Analysis LDA/370 - LDA in R.mp4 169.24 MB
14. 32 - Upper Confidence Bound UCB/287 - Upper Confidence Bound in R Step 3.mp4 168.66 MB
15. 29 - Apriori/270 - Apriori in R Step 2.mp4 165.82 MB
16. 44 - XGBoost/378 - XGBoost in Python.mp4 145.98 MB
17. 37 - Convolutional Neural Networks/358 - CNN in Python Step 5.mp4 143.52 MB
18. 37 - Convolutional Neural Networks/349 - Step 2 Pooling.mp4 142.81 MB
19. 34 - Part 7 Natural Language Processing/307 - Natural Language Processing in Python Step 5.mp4 140.12 MB
20. 39 - Principal Component Analysis PCA/363 - PCA in Python Step 1.mp4 139.67 MB
21. 36 - Artificial Neural Networks/335 - ANN in Python Step 2.mp4 137.34 MB
22. 29 - Apriori/266 - Apriori in Python Step 2.mp4 134.79 MB
23. 29 - Apriori/269 - Apriori in R Step 1.mp4 126.12 MB
24. 40 - Linear Discriminant Analysis LDA/369 - LDA in Python.mp4 125.75 MB
25. 32 - Upper Confidence Bound UCB/286 - Upper Confidence Bound in R Step 2.mp4 124.55 MB
26. 44 - XGBoost/380 - XGBoost in R.mp4 123.86 MB
27. 36 - Artificial Neural Networks/338 - ANN in Python Step 5.mp4 122.59 MB
28. 34 - Part 7 Natural Language Processing/321 - Natural Language Processing in R Step 10.mp4 119.13 MB
29. 39 - Principal Component Analysis PCA/367 - PCA in R Step 3.mp4 116.80 MB
30. 30 - Eclat/274 - Eclat in R.mp4 112.78 MB
31. 7 - Multiple Linear Regression/78 - Multiple Linear Regression in R Backward Elimination HOMEWORK.mp4 112.56 MB
32. 37 - Convolutional Neural Networks/346 - What are convolutional neural networks.mp4 106.34 MB
33. 29 - Apriori/265 - Apriori in Python Step 1.mp4 104.14 MB
34. 37 - Convolutional Neural Networks/356 - CNN in Python Step 3.mp4 103.91 MB
35. 37 - Convolutional Neural Networks/351 - Step 4 Full Connection.mp4 101.16 MB
36. 33 - Thompson Sampling/296 - Thompson Sampling in R Step 1.mp4 101.14 MB
37. 43 - Model Selection/374 - kFold Cross Validation in Python.mp4 100.11 MB
38. 32 - Upper Confidence Bound UCB/276 - The MultiArmed Bandit Problem.mp4 98.75 MB
39. 36 - Artificial Neural Networks/342 - ANN in R Step 4 Last step.mp4 98.26 MB
40. 41 - Kernel PCA/371 - Kernel PCA in Python.mp4 95.48 MB
41. 37 - Convolutional Neural Networks/347 - Step 1 Convolution Operation.mp4 93.79 MB
42. 30 - Eclat/273 - Eclat in Python.mp4 93.52 MB
43. 43 - Model Selection/376 - kFold Cross Validation in R.mp4 92.51 MB
44. 21 - Decision Tree Classification/210 - Decision Tree Classification in R Step 1.mp4 92.03 MB
45. 14 - Regression Model Selection in R/141 - Interpreting Linear Regression Coefficients.mp4 88.94 MB
46. 43 - Model Selection/377 - Grid Search in R.mp4 87.94 MB
47. 20 - Naive Bayes/201 - Naive Bayes in Python Step 1.mp4 87.68 MB
48. 34 - Part 7 Natural Language Processing/311 - Natural Language Processing in R Step 1.mp4 86.06 MB
49. 34 - Part 7 Natural Language Processing/301 - Classical vs Deep Learning Models.mp4 85.98 MB
50. 18 - Support Vector Machine SVM/185 - SVM in R Step 1.mp4 85.80 MB