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The dplyr package by Hadley Wickham is a very useful package that provides “A Grammar of Data Manipulation”. It aims to simplify common data manipulation tasks, and provides “verbs”, i.e. functions that correspond to the most common data manipulation tasks. Have fun playing with dplyr in the exercises below! ... [Read more...]

This is a continuation of the intermediate decision tree exercise. Answers to the exercises are available here. If you obtained a different (correct) answer than those listed on the solutions page, please feel free to post your answer as a comment on that page. Exercise 1 use the predict() command to ... [Read more...]

If you followed through the Basic Decision Tree exercise, this should be useful for you. This is like a continuation but we add so much more. We are working with a bigger and badder datasets. We will be also using techniques we learned from model evaluation and work with ROC, ... [Read more...]

We are committed to bringing you 100% authentic exercise sets. We even try to include as different datasets as possible to give you an understanding of different problems. No more classifying Titanic dataset. R has tons of datasets in its library. This is to encourage you to try as many datasets ... [Read more...]

This is a continuation of the exercise Basic Tree 1 Answers to the exercises are available here. If you obtained a different (correct) answer than those listed on the solutions page, please feel free to post your answer as a comment on that page. Exercise 1 load the tree library. If it ... [Read more...]

Using the knowledge you acquired in the previous exercises on sampling and selecting(here), we will now go through an entire data analysis process. You will be using what you know as crutches to solve the problems. Don’t worry. It might look intimidating but follow the sequence and you ... [Read more...]

In this exercise we cover the basics on selecting and extracting data using queries. We add a few other materials into it. This should prepare you for the next exercise: Basic Decision Tree. The purpose of this is to give you the 20 percent of the tools to get 80 percent of ... [Read more...]

We are committed to bringing you 100% authentic exercise sets. We even try to include as different datasets as possible to give you an understanding of different problems. No more classifying Titanic dataset. R has tons of datasets in its library. This is to encourage you to try as many datasets ... [Read more...]

In this exercise, we cover some basics on frequency tables. We also briefly look at chi-square test for independence to find relationships of two variables. Before proceeding, it might be helpful to look over the help pages for the table, summary, and margin.table functions. Answers to the exercises are ... [Read more...]

In this Exercise, we will dive quickly through some basic sampling methods. Follow along this series to use these methods later for our decision trees modelling exercise. We will sample using the package caTools and caret. This is a beginner level exercise. Please refer to the help section for set.... [Read more...]