Machine Learning
Learn the fundamentals about Python!
Summary
Topics that will be covered:
Machine Learning:
- Supervised vs Unsupervised Learning
- Training, Validation and Test
- Overfitting vs Underfitting
- Models
- k-Nearest Neighbours
- Decision Tre
- scikit-learn
Requirements:
Your own laptop
Install Google Colab to your Google account before the workshop
Google Colab installed in Google Drive
Google account
Internet connectivity
SciKit:
Scikit-learn is an open source machine learning library that supports supervised and unsupervised learning. It also provides various tools for model fitting, data preprocessing, model selection and evaluation, and many other utilities. (Documentation: https://scikit-learn.org/stable/index.html)