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add learning objective for numpy.
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kurniawano committed Sep 12, 2024
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Expand Up @@ -117,8 +117,10 @@ By the end of these lessons, students should be able to:

- Give example of **linear regression and classification**
- Create a **Panda's DataFrame** and selecting data from DataFrame
- Convert Panda's DataFrame to Numpy Array
- Selecting data from Numpy Array
- Convert Panda's DataFrame to **NumPy Array**
- Selecting data from NumPy Array
- Use mathematical, statistical and linear algebra functions on NumPy Array
- Creating new Numpy Arrays
- Using Panda's library to read `CSV` file
- **Split** data randomly into training set and testing set
- **Normalize** data using z-normalization and min-max normalization
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