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Introduction to Machine Learning in Python

Environment setup

Windows

Install Python 3. You can download newest version 3.6 from https://www.python.org/downloads/ if you still don't have Python 3 installed.

Install the following packages: (If you already have them, make sure they are up-to-date)

Install NumPy and Pandas packages by typing in terminal:

pip install pandas

To install SciPy and Scikit-learn packages download .whl files matching your Python version from http://www.lfd.uci.edu/~gohlke/pythonlibs/

For Python 3.6 download scipy‑0.19.0‑cp36‑cp36m‑win32.whl from http://www.lfd.uci.edu/~gohlke/pythonlibs/#scipy

and scikit_learn‑0.18.1‑cp36‑cp36m‑win32.whl from http://www.lfd.uci.edu/~gohlke/pythonlibs/#scikit-learn

Open terminal in directory where both files are located and install SciPy first:

pip install scipy‑0.19.0‑cp36‑cp36m‑win32.whl

and next Scikit-learn:

pip install scikit_learn‑0.18.1‑cp36‑cp36m‑win32.whl

Install Matplotlib package:

pip install matplotlib

Install Jupyter package:

pip install jupyter

Install Folium package:

pip install folium

To launch Jupyter Notebook open terminal in your working directory and type:

jupyter notebook

Jupyter should open in browser window, now you can start to create, edit and execute your notebooks and other files.

When working with a notebook, you can create cells that contain either executable code or Markdown text. Use Shift + Enter to execute cell.

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