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4. NumPy.zip

271.8 MB

4. NumPy

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5. Pandas - Part 01.zip

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5. Pandas - Part 01

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5. Pandas - Part 02.zip

657 MB

5. Pandas - Part 02

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5. Pandas - Part 03.zip

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5. Pandas - Part 03

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5. Pandas - Part 04.zip

179.7 MB

5. Pandas - Part 04

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6. Matplotlib.zip

601.2 MB

6. Matplotlib

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7. Seaborn Data Visualizations - Part 01.zip

683.4 MB

7. Seaborn Data Visualizations - Part 01

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7. Seaborn Data Visualizations - Part 02.zip

229.4 MB

7. Seaborn Data Visualizations - Part 02

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8. Data Analysis and Visualization Capstone Project Exercise.zip

460.6 MB

8. Data Analysis and Visualization Capstone Project Exercise

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9. Machine Learning Concepts Overview.zip

200.8 MB

9. Machine Learning Concepts Overview

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10. Linear Regression - Part 01.zip

680.5 MB

10. Linear Regression - Part 01

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10. Linear Regression - Part 02.zip

622.2 MB

10. Linear Regression - Part 02

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10. Linear Regression - Part 03.zip

229.7 MB

10. Linear Regression - Part 03

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11. Feature Engineering and Data Preparation.zip

594.4 MB

11. Feature Engineering and Data Preparation

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12_Cross_Validation_,_Grid_Search,_and_the_Linear_Regression_Project.zip

459.5 MB

12. Cross Validation , Grid Search, and the Linear Regression Project

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13. Logistic Regression - Part 01.zip

686.5 MB

13. Logistic Regression - Part 01

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13. Logistic Regression - Part 02.zip

202.5 MB

13. Logistic Regression - Part 02

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14. KNN - K Nearest Neighbors.zip

394.4 MB

14. KNN - K Nearest Neighbors

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15. Support Vector Machines.zip

628.2 MB

15. Support Vector Machines

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16. Tree Based Methods Decision Tree Learning.zip

447.4 MB

16. Tree Based Methods Decision Tree Learning

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17. Random Forests.zip

636.9 MB

17. Random Forests

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