This repository contains homeworks for the introduction to machine learning course.
Machine Learning or automatic learning is a scientific field, and more specifically a subcategory of artificial intelligence. It consists of letting algorithms discover “patterns”, namely recurring patterns, in data sets. Anything that can be stored digitally can serve as data for Machine Learning. By detecting patterns in this data, algorithms learn and improve their performance in performing a specific task [1].
This course assignments introduces methods for key aspects of ML:
- Supervised Learning
- Regression
- Classification
- Unsupervised Learning
- Clustering
- Sentiment Analysis
[1] What is ML?