Udemy - 2021 Python for Data Science & Machine Learning from A-Z

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Udemy - 2021 Python for Data Science & Machine Learning from A-Z

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Udemy - 2021 Python for Data Science & Machine Learning from A-Z
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TutsNode.com.txt
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[TutsNode.com] - 2021 Python for Data Science & Machine Learning from A-Z
1. Introduction
1. Who is This Course For.mp4
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17.16 MB
1. Who is This Course For.srt
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3.95 KB
2. Data Science + Machine Learning Marketplace.mp4
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46.94 MB
2. Data Science + Machine Learning Marketplace.srt
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10.4 KB
3. Data Science Job Opportunities.mp4
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29.42 MB
3. Data Science Job Opportunities.srt
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6.86 KB
4. Data Science Job Roles.mp4
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79.8 MB
4. Data Science Job Roles.srt
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15.73 KB
5. What is a Data Scientist.mp4
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127.47 MB
5. What is a Data Scientist.srt
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26.86 KB
6. How To Get a Data Science Job.mp4
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131.19 MB
6. How To Get a Data Science Job.srt
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30.62 KB
7. Data Science Projects Overview.mp4
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79.48 MB
7. Data Science Projects Overview.srt
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19.09 KB
10. Data Loading & Exploration
1. Exploratory Data Analysis.mp4
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50.56 MB
1. Exploratory Data Analysis.srt
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19.07 KB
11. Data Cleaning
1. Feature Scaling.mp4
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19.38 MB
1. Feature Scaling.srt
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11.58 KB
2. Data Cleaning.mp4
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30.21 MB
2. Data Cleaning.srt
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11.53 KB
12. Feature Selecting and Engineering
1. Feature Engineering.mp4
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18.41 MB
1. Feature Engineering.srt
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9.42 KB
13. Linear and Logistic Regression
1. Linear Regression Intro.mp4
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30.8 MB
1. Linear Regression Intro.srt
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12.16 KB
2. Gradient Descent.mp4
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15.93 MB
2. Gradient Descent.srt
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8.44 KB
3. Linear Regression + Correlation Methods.mp4
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110.38 MB
3. Linear Regression + Correlation Methods.srt
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38.61 KB
4. Linear Regression Implementation.mp4
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17.86 MB
4. Linear Regression Implementation.srt
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6.88 KB
5. Logistic Regression.mp4
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8.9 MB
5. Logistic Regression.srt
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4.93 KB
14. K Nearest Neighbors
1. KNN Overview.mp4
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12.89 MB
1. KNN Overview.srt
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4.27 KB
10. Feature scaling in KNN.mp4
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49.39 MB
10. Feature scaling in KNN.srt
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8.06 KB
11. Curse of dimensionality.mp4
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45.99 MB
11. Curse of dimensionality.srt
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9.6 KB
12. KNN use cases.mp4
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28.92 MB
12. KNN use cases.srt
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4.85 KB
13. KNN pros and cons.mp4
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30.45 MB
13. KNN pros and cons.srt
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7.75 KB
2. parametric vs non-parametric models.mp4
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15.63 MB
2. parametric vs non-parametric models.srt
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4.73 KB
3. EDA on Iris Dataset.mp4
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161.88 MB
3. EDA on Iris Dataset.srt
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31.65 KB
4. The KNN Intuition.mp4
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8.09 MB
4. The KNN Intuition.srt
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3.06 KB
5. Implement the KNN algorithm from scratch.mp4
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86.97 MB
5. Implement the KNN algorithm from scratch.srt
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17.14 KB
6. Compare the result with the sklearn library.mp4
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24.57 MB
6. Compare the result with the sklearn library.srt
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5.1 KB
7. Hyperparameter tuning using the cross-validation.mp4
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90.3 MB
7. Hyperparameter tuning using the cross-validation.srt
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14.66 KB
8. The decision boundary visualization.mp4
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16.94 MB
8. The decision boundary visualization.srt
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7.07 KB
9. Manhattan vs Euclidean Distance.mp4
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30.49 MB
9. Manhattan vs Euclidean Distance.srt
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7.75 KB
15. Decision Trees
1. Decision Trees Section Overview.mp4
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16.46 MB
1. Decision Trees Section Overview.srt
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5.6 KB
10. Visualizing the tree.mp4
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68.17 MB
10. Visualizing the tree.srt
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15 KB
11. Plot the features importance.mp4
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31.67 MB
11. Plot the features importance.srt
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7.75 KB
12. Decision Trees Hyper-parameters.mp4
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81.27 MB
12. Decision Trees Hyper-parameters.srt
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16.12 KB
13. Pruning.mp4
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112.97 MB
13. Pruning.srt
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24.35 KB
14. [Optional] Gain Ration.mp4
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19.18 MB
14. [Optional] Gain Ration.srt
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3.7 KB
15. Decision Trees Pros and Cons.mp4
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47.74 MB
15. Decision Trees Pros and Cons.srt
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10.6 KB
16. [Project] Predict whether income exceeds $50Kyr - Overview.mp4
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15.11 MB
16. [Project] Predict whether income exceeds $50Kyr - Overview.srt
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3.6 KB
2. EDA on Adult Dataset.mp4
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123.19 MB
2. EDA on Adult Dataset.srt
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23.77 KB
3. What is Entropy and Information Gain.mp4
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136.08 MB
3. What is Entropy and Information Gain.srt
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29.33 KB
4. The Decision Tree ID3 algorithm from scratch Part 1.mp4
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85.27 MB
4. The Decision Tree ID3 algorithm from scratch Part 1.srt
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14.91 KB
5. The Decision Tree ID3 algorithm from scratch Part 2.mp4
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63.96 MB
5. The Decision Tree ID3 algorithm from scratch Part 2.srt
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10.62 KB
6. The Decision Tree ID3 algorithm from scratch Part 3.mp4
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33.41 MB
6. The Decision Tree ID3 algorithm from scratch Part 3.srt
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5.75 KB
7. ID3 - Putting Everything Together.mp4
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182.48 MB
7. ID3 - Putting Everything Together.srt
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31.03 KB
8. Evaluating our ID3 implementation.mp4
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121.94 MB
8. Evaluating our ID3 implementation.srt
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24.54 KB
9. Compare with Sklearn implementation.mp4
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65.58 MB
9. Compare with Sklearn implementation.srt
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12.27 KB
16. Ensemble Learning and Random Forests
1. Ensemble Learning Section Overview.mp4
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16.07 MB
1. Ensemble Learning Section Overview.srt
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5.17 KB
10. Random Forests Pros and Cons.mp4
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19.69 MB
10. Random Forests Pros and Cons.srt
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7.85 KB
11. What is Boosting.mp4
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35.44 MB
11. What is Boosting.srt
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6.86 KB
12. AdaBoost Part 1.mp4
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25.53 MB
12. AdaBoost Part 1.srt
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5.5 KB
13. AdaBoost Part 2.mp4
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85.94 MB
13. AdaBoost Part 2.srt
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20.87 KB
2. What is Ensemble Learning.mp4
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91.97 MB
2. What is Ensemble Learning.srt
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17.42 KB
3. What is Bootstrap Sampling.mp4
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55.88 MB
3. What is Bootstrap Sampling.srt
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11.13 KB
4. What is Bagging.mp4
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29.48 MB
4. What is Bagging.srt
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7.75 KB
5. Out-of-Bag Error (OOB Error).mp4
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42.03 MB
5. Out-of-Bag Error (OOB Error).srt
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9.97 KB
6. Implementing Random Forests from scratch Part 1.mp4
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202.55 MB
6. Implementing Random Forests from scratch Part 1.srt
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30.12 KB
7. Implementing Random Forests from scratch Part 2.mp4
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50.5 MB
7. Implementing Random Forests from scratch Part 2.srt
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8.27 KB
8. Compare with sklearn implementation.mp4
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27.65 MB
8. Compare with sklearn implementation.srt
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4.94 KB
9. Random Forests Hyper-Parameters.mp4
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39.67 MB
9. Random Forests Hyper-Parameters.srt
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5.97 KB
17. Support Vector Machines
1. SVM Outline.mp4
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35.31 MB
1. SVM Outline.srt
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7.4 KB
10. SMV - Project Overview.mp4
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39.61 MB
10. SMV - Project Overview.srt
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6.23 KB
2. SVM intuition.mp4
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48.86 MB
2. SVM intuition.srt
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16.01 KB
3. Hard vs Soft Margins.mp4
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65.64 MB
3. Hard vs Soft Margins.srt
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18.92 KB
4. C hyper-parameter.mp4
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21.06 MB
4. C hyper-parameter.srt
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5.64 KB
5. Kernel Trick.mp4
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77.05 MB
5. Kernel Trick.srt
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18.19 KB
6. SVM - Kernel Types.mp4
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126.38 MB
6. SVM - Kernel Types.srt
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26.75 KB
7. SVM with Linear Dataset (Iris).mp4
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101.56 MB
7. SVM with Linear Dataset (Iris).srt
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19.85 KB
8. SVM with Non-linear Dataset.mp4
MP4
111.55 MB
8. SVM with Non-linear Dataset.srt
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18.38 KB
9. SVM with Regression.mp4
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25 MB
9. SVM with Regression.srt
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8 KB
18. K-means
1. Unsupervised Machine Learning Intro.mp4
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100.92 MB
1. Unsupervised Machine Learning Intro.srt
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29.36 KB
1.1 Unsupervised Learning.pdf
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636.55 KB
2. Unsupervised Machine Learning Continued.mp4
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83.13 MB
2. Unsupervised Machine Learning Continued.srt
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29.19 KB
3. Representing Clusters.mp4
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109.62 MB
3. Representing Clusters.srt
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28.32 KB
19. PCA
1. PCA Section Overview.mp4
MP4
31.77 MB
1. PCA Section Overview.srt
SRT
7.06 KB
10. PCA - Feature Scaling and Screen Plot.mp4
MP4
68.2 MB
10. PCA - Feature Scaling and Screen Plot.srt
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14.4 KB
11. PCA - Supervised vs Unsupervised.mp4
MP4
35.79 MB
11. PCA - Supervised vs Unsupervised.srt
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7.12 KB
12. PCA - Visualization.mp4
MP4
68.02 MB
12. PCA - Visualization.srt
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10.96 KB
2. What is PCA.mp4
MP4
47.26 MB
2. What is PCA.srt
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14.59 KB
3. PCA Drawbacks.mp4
MP4
19.44 MB
3. PCA Drawbacks.srt
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4.9 KB
4. PCA Algorithm Steps (Mathematics).mp4
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57.73 MB
4. PCA Algorithm Steps (Mathematics).srt
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18.59 KB
5. Covariance Matrix vs SVD.mp4
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38.74 MB
5. Covariance Matrix vs SVD.srt
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6.54 KB
6. PCA - Main Applications.mp4
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10.05 MB
6. PCA - Main Applications.srt
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3.9 KB
7. PCA - Image Compression.mp4
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249.92 MB
7. PCA - Image Compression.srt
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39.37 KB
8. PCA Data Preprocessing.mp4
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120.46 MB
8. PCA Data Preprocessing.srt
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21.05 KB
9. PCA - Biplot and the Screen Plot.mp4
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135.6 MB
9. PCA - Biplot and the Screen Plot.srt
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26.37 KB
2. Data Science & Machine Learning Concepts
1. Why We Use Python.mp4
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13.51 MB
1. Why We Use Python.srt
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4.91 KB
2. What is Data Science.mp4
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87.99 MB
2. What is Data Science.srt
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21.23 KB
3. What is Machine Learning.mp4
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83.41 MB
3. What is Machine Learning.srt
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22.93 KB
4. Machine Learning Concepts & Algorithms.mp4
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77.98 MB
4. Machine Learning Concepts & Algorithms.srt
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23.56 KB
5. What is Deep Learning.mp4
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77.81 MB
5. What is Deep Learning.srt
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15.83 KB
6. Machine Learning vs Deep Learning.mp4
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75.92 MB
6. Machine Learning vs Deep Learning.srt
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17.9 KB
20. Data Science Career
1. Creating A Data Science Resume.mp4
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37.08 MB
1. Creating A Data Science Resume.srt
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10.52 KB
2. Data Science Cover Letter.mp4
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22.96 MB
2. Data Science Cover Letter.srt
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5.99 KB
3. How to Contact Recruiters.mp4
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24.65 MB
3. How to Contact Recruiters.srt
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7.34 KB
4. Getting Started with Freelancing.mp4
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30.24 MB
4. Getting Started with Freelancing.srt
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7.08 KB
5. Top Freelance Websites.mp4
MP4
29.55 MB
5. Top Freelance Websites.srt
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8.37 KB
6. Personal Branding.mp4
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30.49 MB
6. Personal Branding.srt
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6.42 KB
7. Networking Do's and Don'ts.mp4
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23.7 MB
7. Networking Do's and Don'ts.srt
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6.28 KB
8. Importance of a Website.mp4
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15.37 MB
8. Importance of a Website.srt
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4.79 KB
3. Python For Data Science
1. What is Programming.mp4
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18.35 MB
1. What is Programming.srt
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9.03 KB
10. Python Conditional Statements.mp4
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54.61 MB
10. Python Conditional Statements.srt
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18.15 KB
11. Python For Loops and While Loops.mp4
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25.61 MB
11. Python For Loops and While Loops.srt
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10.74 KB
12. Python Lists.mp4
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21.44 MB
12. Python Lists.srt
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7.12 KB
13. More about Lists.mp4
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60.42 MB
13. More about Lists.srt
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19.44 KB
14. Python Tuples.mp4
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54.53 MB
14. Python Tuples.srt
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14.96 KB
15. Python Dictionaries.mp4
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104.18 MB
15. Python Dictionaries.srt
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27.72 KB
16. Python Sets.mp4
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29.43 MB
16. Python Sets.srt
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13.48 KB
17. Compound Data Types & When to use each one.mp4
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47.07 MB
17. Compound Data Types & When to use each one.srt
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17.98 KB
18. Python Functions.mp4
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62.51 MB
18. Python Functions.srt
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20.84 KB
19. Object Oriented Programming in Python.mp4
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70.25 MB
19. Object Oriented Programming in Python.srt
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25.73 KB
2. Why Python for Data Science.mp4
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16.32 MB
2. Why Python for Data Science.srt
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6.77 KB
2.1 Importing Python Data.pdf
PDF
61.55 KB
2.2 Python Basics.pdf
PDF
127.71 KB
3. What is Jupyter.mp4
MP4
14.57 MB
3. What is Jupyter.srt
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5.92 KB
3.1 Jupyter Notebook.pdf
PDF
307.15 KB
4. What is Google Colab.mp4
MP4
8.26 MB
4. What is Google Colab.srt
SRT
4.89 KB
5. Python Variables, Booleans and None.mp4
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38.26 MB
5. Python Variables, Booleans and None.srt
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15.22 KB
6. Getting Started with Google Colab.mp4
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35.09 MB
6. Getting Started with Google Colab.srt
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12.39 KB
7. Python Operators.mp4
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86.76 MB
7. Python Operators.srt
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31.44 KB
8. Python Numbers & Booleans.mp4
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25.61 MB
8. Python Numbers & Booleans.srt
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9.6 KB
9. Python Strings.mp4
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56.27 MB
9. Python Strings.srt
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16.14 KB
4. Statistics for Data Science
1. Intro To Statistics.mp4
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21.24 MB
1. Intro To Statistics.srt
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11.17 KB
2. Descriptive Statistics.mp4
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21.48 MB
2. Descriptive Statistics.srt
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10.04 KB
3. Measure of Variability.mp4
MP4
38.2 MB
3. Measure of Variability.srt
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18.19 KB
4. Measure of Variability Continued.mp4
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34.61 MB
4. Measure of Variability Continued.srt
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13.32 KB
5. Measures of Variable Relationship.mp4
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23.57 MB
5. Measures of Variable Relationship.srt
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10.72 KB
6. Inferential Statistics.mp4
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45.01 MB
6. Inferential Statistics.srt
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22.1 KB
7. Measure of Asymmetry.mp4
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6.76 MB
7. Measure of Asymmetry.srt
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2.75 KB
8. Sampling Distribution.mp4
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26.46 MB
8. Sampling Distribution.srt
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10.25 KB
5. Probability & Hypothesis Testing
1. What is Exactly is Probability.mp4
MP4
27.17 MB
1. What is Exactly is Probability.srt
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6.73 KB
2. Expected Values.mp4
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14.72 MB
2. Expected Values.srt
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4.11 KB
3. Relative Frequency.mp4
MP4
32.69 MB
3. Relative Frequency.srt
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8.67 KB
4. Hypothesis Testing Overview.mp4
MP4
60.59 MB
4. Hypothesis Testing Overview.srt
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14.58 KB
6. NumPy Data Analysis
1. Intro NumPy Array Data Types.mp4
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34.67 MB
1. Intro NumPy Array Data Types.srt
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18.29 KB
1.1 NumPy Basics.pdf
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77.1 KB
2. NumPy Arrays.mp4
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32.33 MB
2. NumPy Arrays.srt
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11.09 KB
3. NumPy Arrays Basics.mp4
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39.98 MB
3. NumPy Arrays Basics.srt
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4. NumPy Array Indexing.mp4
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34.74 MB
4. NumPy Array Indexing.srt
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14.02 KB
5. NumPy Array Computations.mp4
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16.96 MB
5. NumPy Array Computations.srt
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8.6 KB
6. Broadcasting.mp4
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17.86 MB
6. Broadcasting.srt
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6.36 KB
7. Pandas Data Analysis
1. Introduction to Pandas.mp4
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46.83 MB
1. Introduction to Pandas.srt
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1.1 Pandas.pdf
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110.18 KB
1.2 Pandas Basics.pdf
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77.06 KB
2. Introduction to Pandas Continued.mp4
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71.1 MB
2. Introduction to Pandas Continued.srt
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26.81 KB
8. Python Data Visualization
1. Data Visualization Overview.mp4
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73.08 MB
1. Data Visualization Overview.srt
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36.78 KB
2. Different Data Visualization Libraries in Python.mp4
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15.95 MB
2. Different Data Visualization Libraries in Python.srt
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8.76 KB
3. Python Data Visualization Implementation.mp4
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27.43 MB
3. Python Data Visualization Implementation.srt
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12.44 KB
9. Machine Learning
1. Introduction To Machine Learning.mp4
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98.71 MB
1. Introduction To Machine Learning.srt
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1.1 Supervised Learning.pdf
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836.74 KB

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udp://tracker.cyberia.is:6969/announce
udp://retracker.lanta-net.ru:2710/announce
udp://9.rarbg.to:2770/announce
udp://9.rarbg.me:2730/announce
udp://eddie4.nl:6969/announce
udp://tracker.mg64.net:6969/announce
udp://open.demonii.si:1337/announce
udp://tracker.zer0day.to:1337/announce
udp://tracker.tiny-vps.com:6969/announce
udp://ipv6.tracker.harry.lu:80/announce
udp://9.rarbg.me:2740/announce
udp://9.rarbg.me:2770/announce
udp://denis.stalker.upeer.me:6969/announce
udp://tracker.port443.xyz:6969/announce
udp://tracker.moeking.me:6969/announce
udp://exodus.desync.com:6969/announce
udp://9.rarbg.to:2740/announce
udp://9.rarbg.to:2720/announce
udp://tracker.justseed.it:1337/announce
udp://tracker.torrent.eu.org:451/announce
udp://ipv4.tracker.harry.lu:80/announce
udp://tracker.open-internet.nl:6969/announce
udp://torrentclub.tech:6969/announce
udp://open.stealth.si:80/announce
http://tracker.tfile.co:80/announce
Torrent hash: