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#MODULE2 Total Parts:16
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👇Introduction to Python for Machine Learning👇

Part 1.Introduction to python
https://t.me/Machine_Learning_Deep_Learning/459
Part 2. Variables and types
https://t.me/Machine_Learning_Deep_Learning/464
Part 3. Python lists
https://t.me/Machine_Learning_Deep_Learning/472
Part 4. Subsetting lists
https://t.me/Machine_Learning_Deep_Learning/477
Part 5. Manipulating lists
https://t.me/Machine_Learning_Deep_Learning/481
Part 6. Functions
https://t.me/Machine_Learning_Deep_Learning/485
Part 7. Methods
https://t.me/Machine_Learning_Deep_Learning/489
Part 8. Packages
https://t.me/Machine_Learning_Deep_Learning/493

👇Important for DL ML (will upload soon)
Part 9. Numpy
Part 10. Matplotlib
Part 11. Dictionaries
Part 12. Pandas
Part 13. Logical operator
Part 14. Control Flow
Part 15. Filtering Pandas Dataframes
Part 16. Loops and Functions

PART 1/16. Download
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#MODULE2 #Python

Download Python and Anaconda Distribution

PDF For Part 1 to 8

PART 2. Variables and types
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#MODULE2 #Python

Variables

Exercise 1.

Exercise 2

Exercise 3

Exercise 4

Exercise 5

PART 3. Python lists
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#MODULE2 #Python

1. Python lists intro

2. Python list Exercise 1

3. Python list Exercise 2

4. Python list Exercise 3

PART 4. Subsetting lists
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#MODULE2 #Python

1. Subsetting list intro

2. Subsetting list Exercise 1

3. Subsetting list Exercise 2