Always wanted to compete in a <a href='https://www.kaggle.com/?utm_medium=partner&utm_source=datacamp.com&utm_campaign=datacamp+r' target="_blank">Kaggle</a> 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! <br><br> New to R? Give our <a href='https://www.datacamp.com/courses/free-introduction-to-r' target="_blank">Introduction to R</a> course a try.
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.
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.
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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