On this set of exercises, we are going to use the lm and glm functions to perform several generalized linear models on one dataset. Since this is a basic set of exercises we will take a closer look at the arguments of these functions and how to take advantage of the output of each function […]

# Exercises (beginner)

## Applying machine learning algorithms – exercises

INTRODUCTION Dear reader, If you are a newbie in the world of machine learning, then this tutorial is exactly what you need in order to introduce yourself to this exciting new part of the data science world. This post includes a full machine learning project that will guide you step by step to create a […]

## Hacking statistics or: How I Learned to Stop Worrying About Calculus and Love Stats Exercises (Part-8)

Statistics are often taught in school by and for people who like Mathematics. As a consequence, in those class emphasis is put on leaning equations, solving calculus problems and creating mathematics models instead of building an intuition for probabilistic problems. But, if you read this, you know a bit of R programming and have access […]

## Visualizing dataset to apply machine learning-exercises

INTRODUCTION Dear reader, If you are a newbie in the world of machine learning, then this tutorial is exactly what you need in order to introduce yourself to this exciting new part of the data science world. This post includes a full machine learning project that will guide you step by step to create a […]

## Summarizing dataset to apply machine learning – exercises

INTRODUCTION Dear reader, If you are a newbie in the world of machine learning, then this tutorial is exactly what you need in order to introduce yourself to this exciting new part of the data science world. This post includes a full machine learning project that will guide you step by step to create a […]

## Basics of data.table: Smooth data exploration

The data.table package provides perhaps the fastest way for data wrangling in R. The syntax is concise and is made to resemble SQL. After studying the basics of data.table and finishing this exercise set successfully you will be able to start easing into using data.table for all your data manipulation needs. We will use data […]

## ggvis Exercises (Part-2)

INTRODUCTION The ggvis package is used to make interactive data visualizations. The fact that it combines shiny’s reactive programming model and dplyr’s grammar of data transformation make it a useful tool for data scientists. This package may allows us to implement features like interactivity, but on the other hand every interactive ggvis plot must be […]

## Probability functions beginner

On this set of exercises, we are going to explore some of the probability functions in R with practical applications. Basic probability knowledge is required. Note: We are going to use random number functions and random process functions in R such as runif, a problem with these functions is that every time you run them […]

## ggvis Exercises (Part-1)

INTRODUCTION The ggvis package is used to make interactive data visualizations. The fact that it combines shiny’s reactive programming model and dplyr’s grammar of data transformation make it a useful tool for data scientists. This package may allows us to implement features like interactivity, but on the other hand every interactive ggvis plot must be […]

## Data visualization with googleVis exercises part 10

Timeline, Merging & Flash charts This is part 10 of our series and we are going to explore the features of some interesting types of charts that googleVis provides like Timeline, Flash and learn how to merge two googleVis charts to one. Read the examples below to understand the logic of what we are going […]