Introduction to Machine Learning with Python

Already programmed in Python

Learners are able prepare tabular datasets for model training, train and assess models and use trained models in a simple application.

This course aims to introduce the principles and methods of machine learning (mainly supervised machine learning on tabular data) with Python. The first steps will be to use and assess trained models. Then the course will focus on the methods to train a model. Data loading and pre-processing, including feature engineering will be also covered as they are critical stages for successful model training. Basics of non-supervised learning will also be covered as a bonus.

DLH Certificate of Participation