# Machine Learning

Learn the basics of Machine Learning in this introductory course.

### Why Learn Machine Learning?

Machine learning, the field of computer science that gives computer systems the ability to learn from data, is one of the hottest topics in computer science.

Machine learning is transforming the world: from spam filtering in social networks to computer vision for self-driving cars, the potential applications of machine learning are vast.

### Take-Away Skills:

This course covers the foundational machine learning algorithms that will help you advance in your career. Whether you’re trying to analyze a dataset using machine learning, or you’re a data analyst trying to upgrade your skills, this course is the best place to start.

### Note on Prerequisites:

You should be comfortable with Python, including functions, control flow, lists, and loops.

### Codecademy courses have been taken by employees at

## What you'll learn

- 1What is Machine Learning and how do we use it?
- 2Given a set of points, find a line that fits the data best! Even this simple form of regression allows us to predict future points.
- 3
**Multiple Linear Regression**uses two or more independent variables to predict the value of the dependent variable. - 4Practice your regression skills on a real-world dataset provided by Yelp!
- 5Learn about the two types of Supervised Learning algorithms, for predicting different kinds of output.

## What you'll create

Portfolio projects that showcase your new skills

### Honey Production

Fit a line to data about the honeybee population decline in the United States.

### Breast Cancer Classifier

Classify tumors as either malignant or benign using K-Nearest Neighbors.

### 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.

## How you'll master it

Stress-test your knowledge with quizzes that help commit syntax to memory

— Madelyn, Pinterest“I know from first-hand experience that you can go in knowing zero, nothing, and just get a grasp on everything as you go and start building right away.”