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Kaggle R Tutorial on Machine Learning

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Course Description

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

New to R? Give our Introduction to R course a try.
  1. 1

    Raising anchor

    Free

    In this first chapter you will be introduced to DataCamp's interactive interface and the Titanic data set. Once you're familiar with the Kaggle data sets, you make your first predictions using survival rate, gender data, as well as age data.

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    How it works
    100 xp
    Set Sail
    100 xp
    Understanding your data
    50 xp
    Rose vs Jack, or Female vs Male
    100 xp
    Does age play a role?
    100 xp
    Making your first predictions
    100 xp
  2. 2

    From icebergs to 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 will be introduced to a fundamental concept in machine learning: decision trees.

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  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...

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