# 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.

Skill level

IntermediateTime to complete

7 weeksCertificate of completion

YesPrerequisites

2 coursesWe suggest you complete the following courses before you get started with Build a Machine Learning Model with Python:- Getting Started with Python for Data Science
- Python for Data Science: Working with Data

## 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

## Syllabus

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.

## 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.## Projects in this skill path

- Project
### Honey Production

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

Classify tumors as either malignant or benign using K-Nearest Neighbors. - Project
### Predict Titanic Survival

In this project you will use a Logistic Regression model to predict whether or not a passenger survived the sinking of the RMS Titanic.

## 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 Python with a free Codecademy account.## Looking for something else?

### Related resources

- Article
#### What is Scikit-Learn?

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

Learn about the two types of Supervised Learning algorithms. - Article
#### Introduction to Regression Analysis

This article is a brief introduction to the formal theory (otherwise known as Math) behind regression analysis.

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#### Linear Regression in Python

Learn how to fit, interpret, and compare linear regression models in Python.**Intermediate****6**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.