/AI_Intro-to-Machine-Learning

This is the content of the Introduction to Machine Learning Course organized by Saturdays AI

Primary LanguageJupyter Notebook

Machine-Learning track

This is the content of Machine Learning track organized for the 4th season of Saturdays AI Barcelona.

All notebooks run in Google Colab, if you want to run locally, you can clone the repository using the command:

git clone https://github.com/Giffy/AI_Intro-to-Machine-Learning.git

Machine Learning Track

1.- Cleaning & Exploratory Data Analysis
2.- Linear & Logistic Regression
3.- Decision Trees, Random Forest & Boosting
4.- Support Vector Machine & k-NN
5.- Dimensionality reduction - Principal Component Analysis
6.- Intro to Deep Learning
7.- Visualizing Data
8.- Recommenders
9.- WebScrapping
10.- Genetic Algorithms