Part 1 - Some interesting problems to solve with python.

• homework 1 - 4 : Just enjoy them

Part 2 - Supervised machine learning with linear regression. AI agent will find values for you.

• ml_homework 1 - 5 : Linear regression with single variable
• ml_homework 6 : Linear regression with multiple variables

Part 3 - Supervised machine learning with logistic regression. AI agent will distinguish different groups.

• ml_homework 7 - 9 : Logistic regression
• ml_homework 10 : Logistic regression practice - You are product quality manager!
• ml_homework 11 : Logistic regression with Regularization

How to download jupyter notebook .ipynb file from Github

1. First click on "raw".
2. Save the source data to local storage. You must manually type the extension '.ipynb'.
3. Open jupyter notebook.
4. Go to the location where you saved .ipynb file.
5. Open file and see the source code.
6. Enjoy the homeworks.

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