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Free Kaggle Machine Learning Tutorial for Python

May 5th, 2016 in Python

Always wanted to compete in a Kaggle competition, but not sure where to get started? Together with the team at Kaggle, we have developed a free interactive Machine Learning tutorial in Python that can be used in your Kaggle competitions! Step by step, through fun coding challenges, the tutorial will teach you how to predict survival rate for Kaggle's Titanic competition using Python and Machine Learning. Start the Machine Learning with Python tutorial now!

Learning Machine Learning with Python Interactively

This free Python tutorial is provided by DataCamp, an online interactive education platform that offers courses in data science. Each course is built around a certain data science topic and combines video instruction with in-browser coding challenges so that you can learn by doing. You can start every course for free, whenever you want, wherever you want.

The Machine Learning Tutorial

In this Machine Learning tutorial, you will gradually learn how basic machine learning techniques can help you to make better predictions. Go through all the steps, upload your results to Kaggle, and see your ranking go up. No need to install anything. Everything will take place in the comfort of your own browser. Learn:

  • How to load and manipulate your data set using Python.

  • Make basic predictions using variables such as age and gender.

  • How to create your first decision tree.

  • How to make use of feature engineering to improve results.

  • What exactly 'overfitting' means, and how to avoid it.

  • How to make use of the ML technique Random Forests.

So don't wait and get started. Want to see other topics covered as well? Just let us know on Twitter.

Create your own course

Want to create your own course? With DataCamp Teach, you can easily create and host your own interactive tutorial for free. Use the same system DataCamp course creators use to develop their courses, and share your Python knowledge with the rest of the world. 

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