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


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File Size:   6.03 GB
Creat Time:   2025-02-25
Active Degree:   13
Last Active:   2025-02-26
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Tags:    DesireCourse Net Udemy - Machine Learning A-Z™ Hands-On Python R In Data Science
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File List

  1. 1. Welcome to the course!/6.1 Machine_Learning_A-Z_New.zip.zip 228.44 MB
  2. 36. Kernel PCA/3. Kernel PCA in R.mp4 56.57 MB
  3. 1. Welcome to the course!/7. Updates on Udemy Reviews.mp4 52.91 MB
  4. 39. XGBoost/5. THANK YOU bonus video.mp4 52.24 MB
  5. 12. Logistic Regression/13. Logistic Regression in R - Step 5.mp4 51.68 MB
  6. 35. Linear Discriminant Analysis (LDA)/4. LDA in R.mp4 51.30 MB
  7. 17. Decision Tree Classification/4. Decision Tree Classification in R.mp4 51.18 MB
  8. 18. Random Forest Classification/4. Random Forest Classification in R.mp4 49.40 MB
  9. 31. Artificial Neural Networks/13. ANN in Python - Step 2.mp4 48.10 MB
  10. 39. XGBoost/4. XGBoost in R.mp4 47.27 MB
  11. 27. Upper Confidence Bound (UCB)/10. Upper Confidence Bound in R - Step 3.mp4 47.20 MB
  12. 18. Random Forest Classification/3. Random Forest Classification in Python.mp4 47.16 MB
  13. 32. Convolutional Neural Networks/20. CNN in Python - Step 9.mp4 46.85 MB
  14. 7. Support Vector Regression (SVR)/2. SVR Intuition.mp4 46.60 MB
  15. 7. Support Vector Regression (SVR)/3. SVR in Python.mp4 46.18 MB
  16. 35. Linear Discriminant Analysis (LDA)/3. LDA in Python.mp4 45.42 MB
  17. 8. Decision Tree Regression/4. Decision Tree Regression in R.mp4 44.38 MB
  18. 16. Naive Bayes/1. Bayes Theorem.mp4 43.91 MB
  19. 24. Apriori/5. Apriori in R - Step 3.mp4 43.85 MB
  20. 38. Model Selection/3. k-Fold Cross Validation in R.mp4 43.63 MB
  21. 6. Polynomial Regression/10. Polynomial Regression in R - Step 3.mp4 43.32 MB
  22. 28. Thompson Sampling/4. Thompson Sampling in Python - Step 1.mp4 43.13 MB
  23. 6. Polynomial Regression/5. Polynomial Regression in Python - Step 3.mp4 42.98 MB
  24. 24. Apriori/3. Apriori in R - Step 1.mp4 42.87 MB
  25. 32. Convolutional Neural Networks/7. Step 4 - Full Connection.mp4 42.74 MB
  26. 12. Logistic Regression/7. Logistic Regression in Python - Step 5.mp4 42.55 MB
  27. 15. Kernel SVM/6. Kernel SVM in Python.mp4 41.62 MB
  28. 13. K-Nearest Neighbors (K-NN)/4. K-NN in R.mp4 41.38 MB
  29. 29. -------------------- Part 7 Natural Language Processing --------------------/24. Natural Language Processing in R - Step 10.mp4 41.19 MB
  30. 27. Upper Confidence Bound (UCB)/6. Upper Confidence Bound in Python - Step 3.mp4 41.12 MB
  31. 28. Thompson Sampling/6. Thompson Sampling in R - Step 1.mp4 40.93 MB
  32. 2. -------------------- Part 1 Data Preprocessing --------------------/7. Categorical Data.mp4 40.79 MB
  33. 15. Kernel SVM/7. Kernel SVM in R.mp4 40.45 MB
  34. 29. -------------------- Part 7 Natural Language Processing --------------------/15. Natural Language Processing in R - Step 1.mp4 40.37 MB
  35. 9. Random Forest Regression/4. Random Forest Regression in R.mp4 40.34 MB
  36. 32. Convolutional Neural Networks/5. Step 2 - Pooling.mp4 40.24 MB
  37. 21. K-Means Clustering/5. K-Means Clustering in Python.mp4 39.77 MB
  38. 5. Multiple Linear Regression/19. Multiple Linear Regression in R - Backward Elimination - HOMEWORK !.mp4 39.73 MB
  39. 5. Multiple Linear Regression/9. Multiple Linear Regression in Python - Step 1.mp4 39.56 MB
  40. 29. -------------------- Part 7 Natural Language Processing --------------------/11. Natural Language Processing in Python - Step 8.mp4 39.48 MB
  41. 9. Random Forest Regression/3. Random Forest Regression in Python.mp4 39.48 MB
  42. 2. -------------------- Part 1 Data Preprocessing --------------------/9. Splitting the Dataset into the Training set and Test set.mp4 39.04 MB
  43. 31. Artificial Neural Networks/22. ANN in R - Step 1.mp4 38.55 MB
  44. 38. Model Selection/4. Grid Search in Python - Step 1.mp4 38.22 MB
  45. 24. Apriori/6. Apriori in Python - Step 1.mp4 37.97 MB
  46. 4. Simple Linear Regression/12. Simple Linear Regression in R - Step 4.mp4 37.38 MB
  47. 16. Naive Bayes/7. Naive Bayes in R.mp4 37.31 MB
  48. 28. Thompson Sampling/1. Thompson Sampling Intuition.mp4 37.28 MB
  49. 34. Principal Component Analysis (PCA)/8. PCA in R - Step 3.mp4 36.74 MB
  50. 38. Model Selection/6. Grid Search in R.mp4 35.55 MB

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