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.