machine-learning-101

This is a beginners workshop about machine learning held on 2019 Bioengineering Hackathon of EMB IEEE Student Chapter AUTH by the Machine Learning Study Group of IEEE AUTH SB.

Installation

You need to install Python in order to run these scripts.

Presentations

• A how to Python presentation in Python-workshop.pdf is made for beginners to learn the python syntax and how to use basic python libraries, such as numpy and pandas. If this is your first time with python, start from here.
• The complete workshop presentation is in Machine Learning 101.pdf.

File list

• In Linear Regression.py a basic regression problem is demonstrated using the insurance.csv dataset. The same code is also presented as a jupyter notebook script in the Linear Regression.ipynb.
• In SVM script.py a basic svm is created in order to solve a classification problem using the KaggleV2-May-2016.csv dataset. The whole process is divided into steps for better understanding.
• In svm_example.py another classification problem from the bill_authentication.csv dataset is being solved.