First Step to Practical Machine Learning

This is a presentation and Jupyter notebooks for the course of First Step to Practical Machine Learning, which is a part of knowledge sharing activity held at Department of Computer Engineering, Kasetsart University.

How to download all the files

I recommend you to use Git. Simply type

git clone https://github.com/srakrn/cpe-ml-intro.git

to obtain all the files.

If there's any update (of which I might tell you in the session), just simply type git pull from the working directory. (Magic!)

Cannot use Git? Not only that you should get the zipped file of all the materials here, but also both of us should feel bad. :(

Slide

The (LaTeX-compiled) PDF slide could be found in the slides folder.

Notebook files

The course contains some activities, of which Jupyter Notebook, along with the required dependencies, are required.

Requirements

The notebooks for activities require:

• Python 3.5 - 3.6
• Dependencies, of which could be installed by pip3 install -r utilities/requirements.txt

Checking for the dependencies

• Run python utilities/reqs_check.py in order to check if everything is installed. You should not see any "X" signs.
• Run jupyter notebook in your terminal to see if Jupyter could be run.