Skill Path

Build a Machine Learning Model

Learn to build machine learning models with Python.

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

To start this Skill Path, upgrade your plan.
This skill path includes
Start
4,086 learners enrolled
This skill path includes
  • Skill level

    Beginner
  • Time to complete

    Average based on combined completion rates — individual pacing in lessons, projects, and quizzes may vary
     
    23 hours
  • Projects

    10
  • Prerequisites

    2 courses
     
    We suggest you complete the following courses before you get started with Build a Machine Learning Model:
    • Learn Python for Data Science
    • Linear Algebra

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. Along the way, you will create real-world projects to demonstrate your new skills, from basic models all the way to neural networks.

Skills you'll gain

  • Create machine learning models
  • Evaluate model performance
  • Build supervised and unsupervised models
  • Build neural networks in PyTorch

Syllabus

10 units • 17 lessons • 10 projects • 12 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.

  • Certificate of completion available with Plus or Pro

    Earn a certificate of completion and showcase your accomplishment on your resume or LinkedIn.

The platform

Hands-on learning

Animated GIF of an AI provided error explanation within Codecademy's learning environment
An AI-generated hint within the instructions of a Codecademy project
Animated GIF of Codecademy's Job Readiness Checker tool generating a compatibility report for a senior software engineer role
Animated GIF of building a phone screen interview using Codecademy's Interview Simulator
A fill-in-the-blank JavaScript question in a Codecademy assessment

Earn a certificate of completion

Show your network you've done the work by earning a certificate of completion for each course or path you finish.
  • Show proofReceive a certificate that demonstrates you've completed a course or path.
  • Build a collectionThe more courses and paths you complete, the more certificates you collect.
  • Share with your networkEasily add certificates of completion to your LinkedIn profile to share your accomplishments.

Reviews from learners

  • The progress I have made since starting to use codecademy is immense! I can study for short periods or long periods at my own convenience - mostly late in the evenings.
    Chris
    Codecademy Learner @ USA
  • I felt like I learned months in a week. I love how Codecademy uses learning by practice and gives great challenges to help the learner to understand a new concept and subject.
    Rodrigo
    Codecademy Learner @ UK
  • Brilliant learning experience. Very interactive. Literally a game changer if you're learning on your own.
    John-Andrew
    Codecademy Learner @ USA

Our learners work at

  • Google Logo
  • Meta Logo
  • Apple Logo
  • EA Logo
  • Amazon Logo
  • IBM Logo
  • Microsoft Logo
  • Reddit Logo
  • Spotify Logo
  • Uber Logo
  • YouTube Logo
  • Instagram Logo
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.
  2. Get step-by-step guidance

    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.

Ready to learn a new skill?

Get started on Build a Machine Learning Model with a free Codecademy account.Start

Looking for something else?

Browse more topics

View full catalog

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.