# 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.

Skill level

BeginnerTime to complete

Average based on combined completion rates — individual pacing in lessons, projects, and quizzes may vary22 hoursCertificate of completion

YesPrerequisites

2 coursesWe 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.

## Projects in this skill path

- practice Project
### Honey Production

Fit a line to data about the honeybee population decline in the United States. - practice Project
### Cancer Classifier

Classify tumors as either malignant or benign using K-Nearest Neighbors. - practice Project
### Predict Credit Card Fraud

Use Logistic Regression to predict credit card fraud.

## 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.ChrisCodecademy 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.RodrigoCodecademy Learner @ UK
- Brilliant learning experience. Very interactive. Literally a game changer if you're learning on your own.John-AndrewCodecademy Learner @ USA

## Our learners work at

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Want to level up at work? Gain a practical, real-world skill that you can use right away to stand out at your job.### Get step-by-step guidance

We guide you through exactly where to start and what to learn next to build a new skill.### 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.## Looking for something else?

### Related resources

- Article
#### Regression vs. Classification

Learn about the two types of Supervised Learning algorithms. - Article
#### What is Scikit-Learn?

Open-source ML library for Python. Built on NumPy, SciPy, and Matplotlib. - Article
#### Supervised vs. Unsupervised

Introduction to the two main classes of algorithms in Machine Learning — Supervised Learning & Unsupervised Learning.

### Related courses and paths

- Career path
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Machine Learning/AI Engineers build end-to-end ML applications and power many of the apps we use every day. They work in Python, Git, & ML.Includes**7 Courses**With**Certificate****Intermediate****45**hours - Skill path
#### Intermediate Machine Learning

Level up your machine learning skills with tuning methods, advanced models, and dimensionality reduction.Includes**5 Courses**With**Certificate****Intermediate****8**hours - Free course
#### Machine Learning: Logistic Regression

Predict the probability that a datapoint belongs to a given class with Logistic Regression.**Beginner**Friendly**3**hours

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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.