Skill Path

Build a Machine Learning Model with Python

Learn to build machine learning models with Python.

Includes Python 3, scikit-learn, matplotlib, pandas, Jupyter Notebooks, and more.

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46,387 learners enrolled
  • Skill level

  • Time to complete

    7 weeks
  • Certificate of completion

  • Prerequisites

    2 courses

About this skill path

More data is created and collected every day. Machine learning models can find patterns in big data to help us make data-driven decisions. In this skill path, you will learn to build machine learning models using regression, classification, and clustering methods. Along the way, you will create real-world projects to demonstrate your new skills.

Skills you'll gain

  • Create neural nets from scratch
  • Evaluate model performance
  • Build supervised and unsupervised models


10 units • 16 lessons • 9 projects • 11 quizzes
  • 1

    Introduction to Machine Learning

    Welcome to the world of machine learning! You will learn some of the fundamental concepts behind machine learning.

  • 2

    Supervised Learning: Regression

    Use linear regression or multiple linear regression to fit a line to data. Using this line, you can make predictions about future data.

  • 3

    Regression Cumulative Project

    Practice your regression skills on a real-world dataset provided by Yelp!

  • 4

    Supervised Learning: Introduction to Classification

    Learn to classify data using some of the most famous supervised machine learning models.

  • 5

    Supervised Learning: Advanced Classification

    Learn some of the more complicated supervised machine learning models.

  • 6

    Supervised Machine Learning Cumulative Project

    In this cumulative project, use your understanding of a variety of supervised machine learning models to analyze social media data.

  • 7

    Unsupervised Learning

    Learn how unsupervised machine learning models work by implementing the K-Means clustering algorithm.

The platform

Hands-on learning

Don't just watch or read about someone else coding — write your own code live in our online, interactive platform. You'll even get AI-driven recommendations on what you need to review to help keep you on track.
Animated demonstration of running code in Codecademy's learning environment

Reviews from learners

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What's included in skill paths

  • Practice Projects

    Guided projects that help you solidify the skills and concepts you're learning.
  • Assessments

    Auto-graded quizzes and immediate feedback help you reinforce your skills as you learn.
  • Certificate of Completion

    Earn a document to prove you've completed a course or path that you can share with your network.
How it works

Skill paths help you level-up

  1. Get a specialized skill

    Want to level up at work? Gain a practical, real-world skill that you can use right away to stand out at your job.
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    We guide you through exactly where to start and what to learn next to build a new skill.
  3. Get there quickly

    We’ve hand-picked the content in each Skill Path to fast-track your journey and help you gain a new skill in just a few months.

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