Skip to main content
Free course

Kaggle Python Tutorial on Machine Learning

Start Free Course
1 Hour16 Exercises35,077 Learners1450 XP

Create Your Free Account

GoogleLinkedInFacebook

or

By continuing, you accept our Terms of Use, our Privacy Policy and that your data is stored in the USA. You confirm you are at least 16 years old (13 if you are an authorized Classrooms user).

Loved by learners at thousands of companies

Course Description

Always wanted to compete in a Kaggle competition but not sure you have the right skillset? This interactive tutorial by Kaggle and DataCamp on Machine Learning offers the solution. Step-by-step you will learn through fun coding exercises how to predict survival rate for Kaggle's Titanic competition using Machine Learning techniques. Upload your results and see your ranking go up!

New to Python? Give our Introduction to Python for Data Science course a try.

  1. 1

    Getting Started with Python

    Free

    In this chapter we will go trough the essential steps that you will need to take before beginning to build predictive models.

    Play Chapter Now
    How it works
    100 xp
    Get the Data with Pandas
    100 xp
    Understanding your data
    50 xp
    Rose vs Jack, or Female vs Male
    100 xp
    Does age play a role?
    100 xp
    First Prediction
    100 xp
  2. 2

    Predicting with Decision Trees

    Free

    After making your first predictions in the previous chapter, it's time to bring you to the next level. In chapter 2 you

    Play Chapter Now
    Intro to decision trees
    100 xp
    Cleaning and Formatting your Data
    100 xp
    Creating your first decision tree
    100 xp
    Interpreting your decision tree
    50 xp
    Predict and submit to Kaggle
    100 xp
    Overfitting and how to control it
    100 xp
    Feature-engineering for our Titanic data set
    100 xp
  3. 3

    Improving your predictions through Random Forests

    Free

    What techniques can you use to improve your predictions even more? One possible way is by making use of the machine learning method Random Forest. Namely, a forest is just a collection of trees...

    Play Chapter Now
    A Random Forest analysis in Python
    100 xp
    Interpreting and Comparing
    100 xp
    Conclude and Submit
    50 xp

Collaborators

vincentvankrunkelsvenVincent Vankrunkelsvenrv2eHervé Andrieux

What do other learners have to say?

I've used other sites—Coursera, Udacity, things like that—but DataCamp's been the one that I've stuck with.

Devon Edwards Joseph
Lloyds Banking Group

DataCamp is the top resource I recommend for learning data science.

Louis Maiden
Harvard Business School

DataCamp is by far my favorite website to learn from.

Ronald Bowers
Decision Science Analytics, USAA

Join over 9 million learners and start Kaggle Python Tutorial on Machine Learning today!

Create Your Free Account

GoogleLinkedInFacebook

or

By continuing, you accept our Terms of Use, our Privacy Policy and that your data is stored in the USA. You confirm you are at least 16 years old (13 if you are an authorized Classrooms user).