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[FreeCourseSite.com] Udemy - Machine Learning A-Z™ Hands-On Python & R In Data Science
magnet:?xt=urn:btih:ea5bb5e755b980e7133edfa8b99d3d11d63cd87d&dn=[FreeCourseSite.com] Udemy - Machine Learning A-Z™ Hands-On Python & R In Data Science
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Hash值:
ea5bb5e755b980e7133edfa8b99d3d11d63cd87d
点击数:
256
文件大小:
11 GB
文件数量:
247
创建日期:
2022-1-28 13:16
最后访问:
2024-6-24 10:22
访问标签:
FreeCourseSite
com
Udemy
-
Machine
Learning
A-Z™
Hands-On
Python
&
R
In
Data
Science
文件列表详情
1. Welcome to the course!/1. Applications of Machine Learning.mp4 9.81 MB
1. Welcome to the course!/10. Installing R and R Studio (Mac, Linux & Windows).mp4 23.22 MB
1. Welcome to the course!/5. Why Machine Learning is the Future.mp4 14.49 MB
1. Welcome to the course!/9. Presentation of the ML A-Z folder, Colaboratory, Jupyter Notebook and Spyder.mp4 94.8 MB
10. Decision Tree Regression/1. Decision Tree Regression Intuition.mp4 25.33 MB
10. Decision Tree Regression/3. Decision Tree Regression in Python - Step 1.mp4 42.39 MB
10. Decision Tree Regression/4. Decision Tree Regression in Python - Step 2.mp4 26.26 MB
10. Decision Tree Regression/5. Decision Tree Regression in Python - Step 3.mp4 19.47 MB
10. Decision Tree Regression/6. Decision Tree Regression in Python - Step 4.mp4 54.79 MB
10. Decision Tree Regression/7. Decision Tree Regression in R.mp4 56.24 MB
11. Random Forest Regression/1. Random Forest Regression Intuition.mp4 15.65 MB
11. Random Forest Regression/3. Random Forest Regression in Python.mp4 74.39 MB
11. Random Forest Regression/4. Random Forest Regression in R.mp4 51.87 MB
12. Evaluating Regression Models Performance/1. R-Squared Intuition.mp4 9.81 MB
12. Evaluating Regression Models Performance/2. Adjusted R-Squared Intuition.mp4 21.42 MB
13. Regression Model Selection in Python/2. Preparation of the Regression Code Templates.mp4 123.59 MB
13. Regression Model Selection in Python/3. THE ULTIMATE DEMO OF THE POWERFUL REGRESSION CODE TEMPLATES IN ACTION!.mp4 56.78 MB
14. Regression Model Selection in R/1. Evaluating Regression Models Performance - Homework's Final Part.mp4 28.36 MB
14. Regression Model Selection in R/2. Interpreting Linear Regression Coefficients.mp4 27.38 MB
16. Logistic Regression/1. Logistic Regression Intuition.mp4 29.18 MB
16. Logistic Regression/10. Logistic Regression in R - Step 1.mp4 15.73 MB
16. Logistic Regression/11. Logistic Regression in R - Step 2.mp4 14.85 MB
16. Logistic Regression/12. Logistic Regression in R - Step 3.mp4 27.45 MB
16. Logistic Regression/13. Logistic Regression in R - Step 4.mp4 11.73 MB
16. Logistic Regression/15. Logistic Regression in R - Step 5.mp4 93.77 MB
16. Logistic Regression/16. R Classification Template.mp4 17.51 MB
16. Logistic Regression/3. Logistic Regression in Python - Step 1.mp4 44.6 MB
16. Logistic Regression/4. Logistic Regression in Python - Step 2.mp4 84.66 MB
16. Logistic Regression/5. Logistic Regression in Python - Step 3.mp4 43.05 MB
16. Logistic Regression/6. Logistic Regression in Python - Step 4.mp4 45.2 MB
16. Logistic Regression/7. Logistic Regression in Python - Step 5.mp4 30.59 MB
16. Logistic Regression/8. Logistic Regression in Python - Step 6.mp4 52.96 MB
16. Logistic Regression/9. Logistic Regression in Python - Step 7.mp4 118.63 MB
17. K-Nearest Neighbors (K-NN)/1. K-Nearest Neighbor Intuition.mp4 10.48 MB
17. K-Nearest Neighbors (K-NN)/3. K-NN in Python.mp4 146.61 MB
17. K-Nearest Neighbors (K-NN)/4. K-NN in R.mp4 55.78 MB
18. Support Vector Machine (SVM)/2. SVM Intuition.mp4 19.92 MB
18. Support Vector Machine (SVM)/4. SVM in Python.mp4 104.75 MB
18. Support Vector Machine (SVM)/5. SVM in R.mp4 65.32 MB
19. Kernel SVM/1. Kernel SVM Intuition.mp4 6.42 MB
19. Kernel SVM/2. Mapping to a higher dimension.mp4 15.4 MB
19. Kernel SVM/3. The Kernel Trick.mp4 34.73 MB
19. Kernel SVM/4. Types of Kernel Functions.mp4 15.71 MB
19. Kernel SVM/5. Non-Linear Kernel SVR (Advanced).mp4 65.64 MB
19. Kernel SVM/7. Kernel SVM in Python.mp4 88.37 MB
19. Kernel SVM/8. Kernel SVM in R.mp4 52.82 MB
20. Naive Bayes/1. Bayes Theorem.mp4 50.44 MB
20. Naive Bayes/2. Naive Bayes Intuition.mp4 31.11 MB
20. Naive Bayes/3. Naive Bayes Intuition (Challenge Reveal).mp4 13.27 MB
20. Naive Bayes/4. Naive Bayes Intuition (Extras).mp4 18.94 MB
20. Naive Bayes/6. Naive Bayes in Python.mp4 100.47 MB
20. Naive Bayes/7. Naive Bayes in R.mp4 49.8 MB
21. Decision Tree Classification/1. Decision Tree Classification Intuition.mp4 21.63 MB
21. Decision Tree Classification/3. Decision Tree Classification in Python.mp4 108.06 MB
21. Decision Tree Classification/4. Decision Tree Classification in R.mp4 68.19 MB
22. Random Forest Classification/1. Random Forest Classification Intuition.mp4 25.66 MB
22. Random Forest Classification/3. Random Forest Classification in Python.mp4 96.69 MB
22. Random Forest Classification/4. Random Forest Classification in R.mp4 64.11 MB
23. Classification Model Selection in Python/2. THE ULTIMATE DEMO OF THE POWERFUL CLASSIFICATION CODE TEMPLATES IN ACTION!.mp4 135.99 MB
24. Evaluating Classification Models Performance/1. False Positives & False Negatives.mp4 15.13 MB
24. Evaluating Classification Models Performance/2. Confusion Matrix.mp4 8.91 MB
24. Evaluating Classification Models Performance/3. Accuracy Paradox.mp4 4.22 MB
24. Evaluating Classification Models Performance/4. CAP Curve.mp4 20.32 MB
24. Evaluating Classification Models Performance/5. CAP Curve Analysis.mp4 12.95 MB
26. K-Means Clustering/1. K-Means Clustering Intuition.mp4 29.97 MB
26. K-Means Clustering/10. K-Means Clustering in R.mp4 36.91 MB
26. K-Means Clustering/2. K-Means Random Initialization Trap.mp4 15.37 MB
26. K-Means Clustering/3. K-Means Selecting The Number Of Clusters.mp4 25.69 MB
26. K-Means Clustering/5. K-Means Clustering in Python - Step 1.mp4 38.09 MB
26. K-Means Clustering/6. K-Means Clustering in Python - Step 2.mp4 54.08 MB
26. K-Means Clustering/7. K-Means Clustering in Python - Step 3.mp4 81.33 MB
26. K-Means Clustering/8. K-Means Clustering in Python - Step 4.mp4 35.1 MB
26. K-Means Clustering/9. K-Means Clustering in Python - Step 5.mp4 120.5 MB
27. Hierarchical Clustering/10. Hierarchical Clustering in R - Step 2.mp4 13.87 MB
27. Hierarchical Clustering/11. Hierarchical Clustering in R - Step 3.mp4 9.96 MB
27. Hierarchical Clustering/12. Hierarchical Clustering in R - Step 4.mp4 10.18 MB
27. Hierarchical Clustering/13. Hierarchical Clustering in R - Step 5.mp4 13.68 MB
27. Hierarchical Clustering/2. Hierarchical Clustering Intuition.mp4 16.52 MB
27. Hierarchical Clustering/3. Hierarchical Clustering How Dendrograms Work.mp4 17.47 MB
27. Hierarchical Clustering/4. Hierarchical Clustering Using Dendrograms.mp4 22.82 MB
27. Hierarchical Clustering/6. Hierarchical Clustering in Python - Step 1.mp4 40.23 MB
27. Hierarchical Clustering/7. Hierarchical Clustering in Python - Step 2.mp4 135.92 MB
27. Hierarchical Clustering/8. Hierarchical Clustering in Python - Step 3.mp4 75.29 MB
27. Hierarchical Clustering/9. Hierarchical Clustering in R - Step 1.mp4 8.59 MB
29. Apriori/1. Apriori Intuition.mp4 35.02 MB
29. Apriori/3. Apriori in Python - Step 1.mp4 69.84 MB
29. Apriori/4. Apriori in Python - Step 2.mp4 107.7 MB
29. Apriori/5. Apriori in Python - Step 3.mp4 69.2 MB
29. Apriori/6. Apriori in Python - Step 4.mp4 164.33 MB
29. Apriori/7. Apriori in R - Step 1.mp4 52.84 MB
29. Apriori/8. Apriori in R - Step 2.mp4 38.82 MB
29. Apriori/9. Apriori in R - Step 3.mp4 56.51 MB
3. Data Preprocessing in Python/2. Getting Started.mp4 54.34 MB
3. Data Preprocessing in Python/3. Importing the Libraries.mp4 15.98 MB
3. Data Preprocessing in Python/4. Importing the Dataset.mp4 71.79 MB
3. Data Preprocessing in Python/6. Taking care of Missing Data.mp4 69.02 MB
3. Data Preprocessing in Python/7. Encoding Categorical Data.mp4 88.63 MB
3. Data Preprocessing in Python/8. Splitting the dataset into the Training set and Test set.mp4 67.63 MB
3. Data Preprocessing in Python/9. Feature Scaling.mp4 101.72 MB
30. Eclat/1. Eclat Intuition.mp4 10.66 MB
30. Eclat/3. Eclat in Python.mp4 75.55 MB
30. Eclat/4. Eclat in R.mp4 25.26 MB
32. Upper Confidence Bound (UCB)/1. The Multi-Armed Bandit Problem.mp4 30.2 MB
32. Upper Confidence Bound (UCB)/10. Upper Confidence Bound in Python - Step 7.mp4 43.34 MB
32. Upper Confidence Bound (UCB)/11. Upper Confidence Bound in R - Step 1.mp4 34.01 MB
32. Upper Confidence Bound (UCB)/12. Upper Confidence Bound in R - Step 2.mp4 34.1 MB
32. Upper Confidence Bound (UCB)/13. Upper Confidence Bound in R - Step 3.mp4 57.84 MB
32. Upper Confidence Bound (UCB)/14. Upper Confidence Bound in R - Step 4.mp4 9.55 MB
32. Upper Confidence Bound (UCB)/2. Upper Confidence Bound (UCB) Intuition.mp4 29.33 MB
32. Upper Confidence Bound (UCB)/4. Upper Confidence Bound in Python - Step 1.mp4 58.74 MB
32. Upper Confidence Bound (UCB)/5. Upper Confidence Bound in Python - Step 2.mp4 17.75 MB
32. Upper Confidence Bound (UCB)/6. Upper Confidence Bound in Python - Step 3.mp4 38.47 MB
32. Upper Confidence Bound (UCB)/7. Upper Confidence Bound in Python - Step 4.mp4 85.38 MB
32. Upper Confidence Bound (UCB)/8. Upper Confidence Bound in Python - Step 5.mp4 32.43 MB
32. Upper Confidence Bound (UCB)/9. Upper Confidence Bound in Python - Step 6.mp4 44.9 MB
33. Thompson Sampling/1. Thompson Sampling Intuition.mp4 37.28 MB
33. Thompson Sampling/10. Thompson Sampling in R - Step 2.mp4 9.56 MB
33. Thompson Sampling/2. Algorithm Comparison UCB vs Thompson Sampling.mp4 14.08 MB
33. Thompson Sampling/4. Thompson Sampling in Python - Step 1.mp4 30.59 MB
33. Thompson Sampling/5. Thompson Sampling in Python - Step 2.mp4 70.01 MB
33. Thompson Sampling/6. Thompson Sampling in Python - Step 3.mp4 78.66 MB
33. Thompson Sampling/7. Thompson Sampling in Python - Step 4.mp4 44.64 MB
33. Thompson Sampling/9. Thompson Sampling in R - Step 1.mp4 51.04 MB
34. -------------------- Part 7 Natural Language Processing --------------------/10. Natural Language Processing in Python - Step 4.mp4 60.11 MB
34. -------------------- Part 7 Natural Language Processing --------------------/11. Natural Language Processing in Python - Step 5.mp4 89.63 MB
34. -------------------- Part 7 Natural Language Processing --------------------/12. Natural Language Processing in Python - Step 6.mp4 52.9 MB
34. -------------------- Part 7 Natural Language Processing --------------------/15. Natural Language Processing in R - Step 1.mp4 51.2 MB
34. -------------------- Part 7 Natural Language Processing --------------------/16. Natural Language Processing in R - Step 2.mp4 21.66 MB
34. -------------------- Part 7 Natural Language Processing --------------------/17. Natural Language Processing in R - Step 3.mp4 16.89 MB
34. -------------------- Part 7 Natural Language Processing --------------------/18. Natural Language Processing in R - Step 4.mp4 8.25 MB
34. -------------------- Part 7 Natural Language Processing --------------------/19. Natural Language Processing in R - Step 5.mp4 5.78 MB
34. -------------------- Part 7 Natural Language Processing --------------------/2. NLP Intuition.mp4 12.71 MB
34. -------------------- Part 7 Natural Language Processing --------------------/20. Natural Language Processing in R - Step 6.mp4 16.1 MB
34. -------------------- Part 7 Natural Language Processing --------------------/21. Natural Language Processing in R - Step 7.mp4 9.59 MB
34. -------------------- Part 7 Natural Language Processing --------------------/22. Natural Language Processing in R - Step 8.mp4 17.23 MB
34. -------------------- Part 7 Natural Language Processing --------------------/23. Natural Language Processing in R - Step 9.mp4 37.7 MB
34. -------------------- Part 7 Natural Language Processing --------------------/24. Natural Language Processing in R - Step 10.mp4 54.15 MB
34. -------------------- Part 7 Natural Language Processing --------------------/3. Types of Natural Language Processing.mp4 22.5 MB
34. -------------------- Part 7 Natural Language Processing --------------------/4. Classical vs Deep Learning Models.mp4 83.95 MB
34. -------------------- Part 7 Natural Language Processing --------------------/5. Bag-Of-Words Model.mp4 103.5 MB
34. -------------------- Part 7 Natural Language Processing --------------------/7. Natural Language Processing in Python - Step 1.mp4 34.07 MB
34. -------------------- Part 7 Natural Language Processing --------------------/8. Natural Language Processing in Python - Step 2.mp4 40.48 MB
34. -------------------- Part 7 Natural Language Processing --------------------/9. Natural Language Processing in Python - Step 3.mp4 60.61 MB
35. -------------------- Part 8 Deep Learning --------------------/2. What is Deep Learning.mp4 31.32 MB
36. Artificial Neural Networks/1. Plan of attack.mp4 4.74 MB
36. Artificial Neural Networks/11. ANN in Python - Step 1.mp4 66.47 MB
36. Artificial Neural Networks/13. ANN in Python - Step 2.mp4 111.03 MB
36. Artificial Neural Networks/14. ANN in Python - Step 3.mp4 75.07 MB
36. Artificial Neural Networks/15. ANN in Python - Step 4.mp4 65.38 MB
36. Artificial Neural Networks/16. ANN in Python - Step 5.mp4 101.34 MB
36. Artificial Neural Networks/17. ANN in R - Step 1.mp4 49.9 MB
36. Artificial Neural Networks/18. ANN in R - Step 2.mp4 18.24 MB
36. Artificial Neural Networks/19. ANN in R - Step 3.mp4 37.86 MB
36. Artificial Neural Networks/2. The Neuron.mp4 29.87 MB
36. Artificial Neural Networks/20. ANN in R - Step 4 (Last step).mp4 43.76 MB
36. Artificial Neural Networks/3. The Activation Function.mp4 14.76 MB
36. Artificial Neural Networks/4. How do Neural Networks work.mp4 23.53 MB
36. Artificial Neural Networks/5. How do Neural Networks learn.mp4 26.56 MB
36. Artificial Neural Networks/6. Gradient Descent.mp4 18.54 MB
36. Artificial Neural Networks/7. Stochastic Gradient Descent.mp4 16.82 MB
36. Artificial Neural Networks/8. Backpropagation.mp4 10.93 MB
36. Artificial Neural Networks/9. Business Problem Description.mp4 29.24 MB
37. Convolutional Neural Networks/1. Plan of attack.mp4 5.9 MB
37. Convolutional Neural Networks/11. CNN in Python - Step 1.mp4 70.8 MB
37. Convolutional Neural Networks/12. CNN in Python - Step 2.mp4 106.88 MB
37. Convolutional Neural Networks/13. CNN in Python - Step 3.mp4 118.59 MB
37. Convolutional Neural Networks/14. CNN in Python - Step 4.mp4 40.02 MB
37. Convolutional Neural Networks/15. CNN in Python - Step 5.mp4 97.68 MB
37. Convolutional Neural Networks/16. CNN in Python - FINAL DEMO!.mp4 152.77 MB
37. Convolutional Neural Networks/2. What are convolutional neural networks.mp4 29.51 MB
37. Convolutional Neural Networks/3. Step 1 - Convolution Operation.mp4 31.02 MB
37. Convolutional Neural Networks/4. Step 1(b) - ReLU Layer.mp4 14.09 MB
37. Convolutional Neural Networks/5. Step 2 - Pooling.mp4 40.25 MB
37. Convolutional Neural Networks/6. Step 3 - Flattening.mp4 3.27 MB
37. Convolutional Neural Networks/7. Step 4 - Full Connection.mp4 42.75 MB
37. Convolutional Neural Networks/8. Summary.mp4 7.92 MB
37. Convolutional Neural Networks/9. Softmax & Cross-Entropy.mp4 33.24 MB
39. Principal Component Analysis (PCA)/1. Principal Component Analysis (PCA) Intuition.mp4 32.12 MB
39. Principal Component Analysis (PCA)/3. PCA in Python - Step 1.mp4 112.91 MB
39. Principal Component Analysis (PCA)/4. PCA in Python - Step 2.mp4 40.79 MB
39. Principal Component Analysis (PCA)/5. PCA in R - Step 1.mp4 30.66 MB
39. Principal Component Analysis (PCA)/6. PCA in R - Step 2.mp4 29.03 MB
39. Principal Component Analysis (PCA)/7. PCA in R - Step 3.mp4 36.74 MB
4. Data Preprocessing in R/10. Data Preprocessing Template.mp4 50.74 MB
4. Data Preprocessing in R/2. Getting Started.mp4 9.81 MB
4. Data Preprocessing in R/4. Dataset Description.mp4 11.84 MB
4. Data Preprocessing in R/5. Importing the Dataset.mp4 16.42 MB
4. Data Preprocessing in R/6. Taking care of Missing Data.mp4 39.79 MB
4. Data Preprocessing in R/7. Encoding Categorical Data.mp4 57.32 MB
4. Data Preprocessing in R/8. Splitting the dataset into the Training set and Test set.mp4 86.5 MB
4. Data Preprocessing in R/9. Feature Scaling.mp4 78.89 MB
40. Linear Discriminant Analysis (LDA)/1. Linear Discriminant Analysis (LDA) Intuition.mp4 26.99 MB
40. Linear Discriminant Analysis (LDA)/3. LDA in Python.mp4 102 MB
40. Linear Discriminant Analysis (LDA)/4. LDA in R.mp4 51.29 MB
41. Kernel PCA/2. Kernel PCA in Python.mp4 77.5 MB
41. Kernel PCA/3. Kernel PCA in R.mp4 56.58 MB
43. Model Selection/2. k-Fold Cross Validation in Python.mp4 112.37 MB
43. Model Selection/3. Grid Search in Python.mp4 151.79 MB
43. Model Selection/4. k-Fold Cross Validation in R.mp4 43.64 MB
43. Model Selection/5. Grid Search in R.mp4 35.55 MB
44. XGBoost/2. XGBoost in Python.mp4 89.99 MB
44. XGBoost/4. XGBoost in R.mp4 47.27 MB
44. XGBoost/5. THANK YOU Bonus Video.mp4 52.25 MB
6. Simple Linear Regression/1. Simple Linear Regression Intuition - Step 1.mp4 10.53 MB
6. Simple Linear Regression/10. Simple Linear Regression in R - Step 2.mp4 24.87 MB
6. Simple Linear Regression/11. Simple Linear Regression in R - Step 3.mp4 11.43 MB
6. Simple Linear Regression/12. Simple Linear Regression in R - Step 4.mp4 49.16 MB
6. Simple Linear Regression/2. Simple Linear Regression Intuition - Step 2.mp4 5.99 MB
6. Simple Linear Regression/4. Simple Linear Regression in Python - Step 1.mp4 48.61 MB
6. Simple Linear Regression/5. Simple Linear Regression in Python - Step 2.mp4 39.85 MB
6. Simple Linear Regression/6. Simple Linear Regression in Python - Step 3.mp4 28.22 MB
6. Simple Linear Regression/7. Simple Linear Regression in Python - Step 4.mp4 74.57 MB
6. Simple Linear Regression/9. Simple Linear Regression in R - Step 1.mp4 11.53 MB
7. Multiple Linear Regression/1. Dataset + Business Problem Description.mp4 12.56 MB
7. Multiple Linear Regression/10. Multiple Linear Regression in Python - Step 2.mp4 62.33 MB
7. Multiple Linear Regression/11. Multiple Linear Regression in Python - Step 3.mp4 58.21 MB
7. Multiple Linear Regression/12. Multiple Linear Regression in Python - Step 4.mp4 72.52 MB
7. Multiple Linear Regression/15. Multiple Linear Regression in R - Step 1.mp4 23.44 MB
7. Multiple Linear Regression/16. Multiple Linear Regression in R - Step 2.mp4 45.22 MB
7. Multiple Linear Regression/17. Multiple Linear Regression in R - Step 3.mp4 13.85 MB
7. Multiple Linear Regression/18. Multiple Linear Regression in R - Backward Elimination - HOMEWORK !.mp4 50.79 MB
7. Multiple Linear Regression/19. Multiple Linear Regression in R - Backward Elimination - Homework Solution.mp4 21.95 MB
7. Multiple Linear Regression/2. Multiple Linear Regression Intuition - Step 1.mp4 2 MB
7. Multiple Linear Regression/3. Multiple Linear Regression Intuition - Step 2.mp4 2.04 MB
7. Multiple Linear Regression/4. Multiple Linear Regression Intuition - Step 3.mp4 16.59 MB
7. Multiple Linear Regression/5. Multiple Linear Regression Intuition - Step 4.mp4 5.34 MB
7. Multiple Linear Regression/6. Understanding the P-Value.mp4 56.48 MB
7. Multiple Linear Regression/7. Multiple Linear Regression Intuition - Step 5.mp4 32.81 MB
7. Multiple Linear Regression/9. Multiple Linear Regression in Python - Step 1.mp4 50.92 MB
8. Polynomial Regression/1. Polynomial Regression Intuition.mp4 9.44 MB
8. Polynomial Regression/10. Polynomial Regression in R - Step 4.mp4 28.52 MB
8. Polynomial Regression/11. R Regression Template.mp4 31.34 MB
8. Polynomial Regression/3. Polynomial Regression in Python - Step 1.mp4 58.25 MB
8. Polynomial Regression/4. Polynomial Regression in Python - Step 2.mp4 69.31 MB
8. Polynomial Regression/5. Polynomial Regression in Python - Step 3.mp4 77.86 MB
8. Polynomial Regression/6. Polynomial Regression in Python - Step 4.mp4 38.79 MB
8. Polynomial Regression/7. Polynomial Regression in R - Step 1.mp4 21.21 MB
8. Polynomial Regression/8. Polynomial Regression in R - Step 2.mp4 32.28 MB
8. Polynomial Regression/9. Polynomial Regression in R - Step 3.mp4 54.81 MB
9. Support Vector Regression (SVR)/1. SVR Intuition (Updated!).mp4 36.85 MB
9. Support Vector Regression (SVR)/2. Heads-up on non-linear SVR.mp4 19.78 MB
9. Support Vector Regression (SVR)/4. SVR in Python - Step 1.mp4 42.56 MB
9. Support Vector Regression (SVR)/5. SVR in Python - Step 2.mp4 86.92 MB
9. Support Vector Regression (SVR)/6. SVR in Python - Step 3.mp4 34.8 MB
9. Support Vector Regression (SVR)/7. SVR in Python - Step 4.mp4 46.3 MB
9. Support Vector Regression (SVR)/8. SVR in Python - Step 5.mp4 93.64 MB
9. Support Vector Regression (SVR)/9. SVR in R.mp4 33.73 MB
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