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
Scientific topics: Machine learning
Operations: Classification
Activity log