This tutorial takes course material from DataCamp's free Intro to R course and allows you to practice Factors. Practice Lists in R by using course material from DataCamp's Intro to R course. In this tutorial, you're going to learn how to implement customer segmentation using RFM(Recency, Frequency, Monetary) analysis from scratch in Python. Practice For Loops in R by using course material from DataCamp's Intermediate R for Finance course. Learn about the basics of feature selection and how to implement and investigate various feature selection techniques in Python. In this tutorial, you will learn how to analyze and display data using Tableau and make better, more data-driven decisions. In this tutorial, you will learn about debugging in R and Rstudio using the debugr package. In this tutorial, you will learn how to use a very unique library in python, tpot . The reason why this library is unique is that it automates the entire Machine Learning pipeline and provides you with the best performing machine learning model. In this tutorial, you’ll learn various ways in which multiple DataFrames could be merged in python using Pandas library. Get introduced to Docstrings in Python. Learn more about the different types of writing Docstrings, such as One-line Docstrings and Multi-line Docstrings, popular Docstring formats with their uses. Along with the built-in Docstrings. In this tutorial, we are going to scrape the tutorials section of the DataCamp website and try to get some insights. In this tutorial, you're going to learn about the Django Python Web framework. You will learn Django by creating a Voting Web App entirely using the Django. In this tutorial, you’ll learn about the recently discovered Dimensionality Reduction technique known as t-Distributed Stochastic Neighbor Embedding (t-SNE). In this tutorial, you'll learn about Tensors, PyTorch, and how to create a simple neural network with PyTorch. In this tutorial, you shall work with lists and learn an efficient way to divide arbitrarily sized lists into chunks of a given size.