1. Learn
    2. /
  2. Courses
    3. /
  3. Kaggle R Tutorial on Machine Learning
  • 1

    Raising anchor

    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.

  • 2

    From icebergs to trees

    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.

  • 3

    Improving your predictions through Random Forests

    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...

Initializing

Exercise

How it works

Welcome to our Kaggle Machine Learning Tutorial, that guides you through Kaggle's Titanic competition using R and Machine Learning. If you're new to R, you can take our free Introduction to R Tutorial. Although it's not required, familiarity with machine learning techniques is a plus to get the maximum out of this tutorial.

In the editor on the right you should type R code to solve the exercises. When you hit the 'Submit Answer' button, every line of code is interpreted and executed by R and you get a message whether or not your code was correct. The output of your R code is shown in the console in the lower right corner. You can also type and execute code into the console to experiment with R code: your submission is not checked for correctness in this case.

Instructions

100 XP
  • In the editor on the right there is already some sample code. Can you see which lines are actual R code and which are comments?
  • Add a line of code that calculates the sum of 6 and 12, and hit the 'Submit Answer' button.