DAT131

Machine learning with Python
Related tags:

Courses tagged with "DAT131"

DAT131 Machine Learning with Python (Ontario Summer School, June 2019)

This half-day session offers an overview of machine learning tools available in Python. -- Prerequisites: python programming
Teacher: Fei Mao
Category: Data Science
Date: Wed, 26 Jun 2019 - 9:30 am
Data Science Credits: 3

DAT131 Introduction to Machine Learning (@CBP2019, May 2019)

This workshop is part of the 2019 Chemical BioPhysics Symposium.

This workshop will provide an introduction to some of the key methods and concepts in machine learning. We will present and discuss the following topics: - Introduction to machine learning. - Regression. - Bias-variance tradeoff. - Resampling Methods. - Classification algorithms, in general. - Decision trees, kNN, k-means. - Agglomerative clustering.

We will use Python 3, and attendees are expected to be familiar with the Python programming language but extensive programming experience is not required - we will mainly be calling functions in existing packages, not writing large amounts of code.
Teacher: Marcelo Ponce
Category: Data Science
Date: Fri, 3 May 2019 - 10:00 am
Data Science Credits: 3

DAT131 Machine Learning with Python (Ontario Summer School, June 2018)

This half days session offers an overview of machine learning tools available in Python.
Teacher: Erik Spence
Category: Data Science
Date: Wed, 13 Jun 2018 - 1:30 pm