hands-on tutorial

A tour of Machine Learning

Course content

https://github.com/sdgroeve/Machine-Learning-Course-2days
This repository contains the Jupyter notebooks for the VIB course on Machine Learning: "A tour of Machine Learning: classification".

You can fork this to your own repository to obtain a working copy. Each notebook contains a button to run the code in Google Colaboratory.

The lectures can be watched on Youtube. More lecture can be found here.

You will enjoy competing against each other to fit the best performing model in the Kaggle competition.

Further learning

Coursera ML course: https://www.coursera.org/learn/machine-learning
Kaggle learning: https://www.kaggle.com/learn/overview and https://www.kaggle.com/sashr07/kaggle-titanic-tutorial

Licence: Creative Commons Attribution Non Commercial Share Alike 4.0 International

Contact: Sven Degroeve, Ghent University

Keywords: Deep Learning, Machine Learning

Target audience: Life scientists with programming skills

Resource type: hands-on tutorial

Version: 1.0

Status: Active

Prerequisites:

Required skills

Models are build in the Python programming language​ so basic knowledge of Python is a plus.

Date created: 2023-05-02

Authors: Sven Degroeve

Scientific topics: Machine learning

Operations: Classification


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