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mlcourse's Introduction

MLcourse

A placeholder for the lectures in the machine learning course in the astrotwincolo school in University of Antioquia in Medellin, Columbia.

Running the notebooks

Almost all of the tutorials are given in colab notebooks. In order to run/edit them copy the file into your own google drive.

Author

Mohammadjavad Vakili; as part of the joint Leiden Observatory / Universidad de Antioquia astrotwining school.

Tutorials:

Day1:

Model evaluation, nearest neighbors and decision trees.

Day2:

Logistic regression & deep learning: math, optimization, Dropout

Day3:

Introduction to convolutions and Convolutional Neural Networks

Day 4:

Time Series analysis, Gaussian Process, Forecasting with a simple model

Day 5:

K-means, Gaussian Mixture Model, PCA

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