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IBM-ML0101EN, by Gus Viola

###My notebook for the IBM - ML0101EN course on edX

Table of Contents

Introduction

This is the directory where I am saving Jupyter Notebooks and related files for the edX course [Machine Learning with Python: A Practical Introduction(https://courses.edx.org/courses/course-v1:IBM+ML0101EN+3T2019/course/). I follow the code along the lectures, and make revisions and expansions when I get to each module lab.

Installation

You must be familiar with Jupyter Notebook and Python 3.

Just click on the green "Clone or download" button above to the right, get all files and folders in your drive, and open index.html with your web browser of choice!

If you are interested in programming, feel free to clone and use the code! It is distributed under the MIT License.

License

The contents of this repository are covered under the MIT License.

According to choosealicense, "the MIT License is a permissive license that is short and to the point. It lets people do anything they want with your code as long as they provide attribution back to you and don’t hold you liable."

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