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skill track

Machine Learning Fundamentals with Python

Machine learning is changing the world and if you want to be a part of the ML revolution, this is a great place to start! In this track, you’ll learn the fundamental concepts in Machine Learning.

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Loved by learners at thousands of companies

1
Python
Supervised Learning with scikit-learn

Learn how to build and tune predictive models and evaluate how well they'll perform on unseen data.

4 hours

Hugo Bowne-Anderson Headshot

Hugo Bowne-Anderson

Data Scientist at DataCamp

2
Python
Unsupervised Learning in Python

Learn how to cluster, transform, visualize, and extract insights from unlabeled datasets using scikit-learn and scipy.

4 hours

Benjamin Wilson Headshot

Benjamin Wilson

Director of Research at lateral.io

3
Python
Linear Classifiers in Python

In this course you will learn the details of linear classifiers like logistic regression and SVM.

4 hours

Mike Gelbart Headshot

Mike Gelbart

Instructor, the University of British Columbia

4
Python
Case Study: School Budgeting with Machine Learning in Python

Learn how to build a model to automatically classify items in a school budget.

4 hours

Peter Bull Headshot

Peter Bull

Co-founder of DrivenData

5
Python
Introduction to Deep Learning in Python

Learn the fundamentals of neural networks and how to build deep learning models using Keras 2.0.

4 hours

Dan Becker Headshot

Dan Becker

Data Scientist and contributor to Keras and TensorFlow libraries

6
Python
Machine Learning Fundamentals in Python

Instructors