| Topic | Name | Description |
|---|---|---|
There are two books I recommend. You should be able to find them online for free. 1. Python Data Science Handbook by Jake VanderPlas 2. Hands-on Machine Learning with Scikit-Learn, Keras & TensorFlow, 2nd Edition by Aurelien Geron |
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| Interesting Articles | ||
| Week One: 1/4-1/7 | ||
These are the code snippets I would like you to use in class. Hopefully, this makes it easier to copy/paste. |
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There is a notebook file (which you should be able to open in Jupyter Notebook) and a pdf so you can see the code we worked on in class. |
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There is a notebook file (which you should be able to open in Jupyter Notebook) and a pdf so you can see the code we worked on in class. |
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| Week Two: 1/10-1/14 | ||
Included are the Jupyter Notebook, py, and pdf versions of the class notebook from this lecture. |
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Folder includes pdf, python, and Jupyter Notebook formats. |
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Python, Notebook, and pdf versions included. |
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These are short because it was so hot in Olin. I wonder how many times the temp was referred to in the recording. |
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| Week Three: 1/18-1/20 | ||
pdf, notebook, and py versions of the classwork. |
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This was a continuation from the previous notebook. |
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| Week Four: 1/24-28 | ||