Skip to main content
HomePython
skill track

Machine Learning Fundamentals in Python

Discover the machine learning fundamentals and explore how machine learning is changing the world. Join the ML revolution today! If you’re new to the discipline, this is an ideal place to start. You’ll cover the machine learning basics with Python, starting with supervised learning with the scikit-learn library. You’ll also learn how to cluster, transform, visualize, and extra insights from data using unsupervised learning and scipy. As you progress, you’ll explore the fundamentals of neural networks and deep learning models using PyTorch. You’ll finish the track by covering reinforcement learning, solving a myriad of problems as you go! By the time you’re finished, you’ll understand the essential machine learning concepts and be able to apply the fundamentals of machine learning with Python.

PythonClock16hrsLearn4 coursesApply3 projectsTrophyStatement of Accomplishment

Create Your Free Account

GoogleLinkedInFacebook

or

By continuing, you accept our Terms of Use, our Privacy Policy and that your data is stored in the USA.
Group

Training 2 or more people?

Try DataCamp for Business

Loved by learners at thousands of companies

1
Supervised Learning with scikit-learn

Grow your machine learning skills with scikit-learn in Python. Use real-world datasets in this interactive course and learn how to make powerful predictions!

4 hours

George Boorman Headshot

George Boorman

Curriculum Manager, DataCamp

2
Predictive Modeling for Agriculture

Dive into agriculture using supervised machine learning and feature selection to aid farmers in crop cultivation and solve real-world problems.

2 hours

3
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

4
Clustering Antarctic Penguin Species

Arctic Penguin Exploration: Unraveling Clusters in the Icy Domain with K-means Clustering

2 hours

Amir Parizi Headshot

Amir Parizi

Data Scientist at Staples US Retail

5
Introduction to Deep Learning with PyTorch

Learn how to build your first neural network, adjust hyperparameters, and tackle classification and regression problems in PyTorch.

4 hours

Maham Khan Headshot

Maham Khan

Senior Data Scientist, YouView TV

6
Reinforcement Learning with Gymnasium in Python

Start your reinforcement learning journey! Learn how agents can learn to solve environments through interactions.

4 hours

Fouad Trad Headshot

Fouad Trad

Machine Learning Engineer

7
Taxi Route Optimization with Reinforcement Learning

Solve the Taxi-v3 environment using Q-learning, ensuring efficient AI-driven transportation.

2 hours

Fouad Trad Headshot

Fouad Trad

Machine Learning Engineer

8
Machine Learning Fundamentals in Python
Sparkles AI ASSISTANTSign up to use the AI AssistantOur AI assistant is free to use for all registered users. Sign up or login to access the assistant and boost your learning experience.
Discover
For Business

Training 2 or more people?

Get your team access to the full DataCamp platform, including all the features.
DataCamp for BusinessFor a bespoke solution book a demo.

Instructors

  • George Boorman Headshot
    George BoormanCurriculum Manager, DataCampSee George Boorman's Portfolio
  • Mohammed Abufouda Headshot
    Mohammed AbufoudaSee Mohammed Abufouda's Portfolio
  • Benjamin Wilson Headshot
    Benjamin WilsonDirector of Research at lateral.ioSee Benjamin Wilson's Portfolio
  • Amir Parizi Headshot
    Amir PariziData Scientist at Staples US RetailSee Amir Parizi's Portfolio

FAQs

Join over 15,140,000 learners and start Machine Learning Fundamentals in Python today!

Create Your Free Account

GoogleLinkedInFacebook

or

By continuing, you accept our Terms of Use, our Privacy Policy and that your data is stored in the USA.