must read
r programming
Principal Component Analysis in R
In this tutorial, you'll learn how to use PCA to extract data with many variables and create visualizations to display that data.must read
python
Python List Index()
In this tutorial, you will learn exclusively about the index() function.must read
learning data science
Common data science pitfalls & how to avoid them!
In this tutorial, you'll learn about some pitfalls you might experience when working on data science projects "in the wild".Using XGBoost in Python
XGBoost is one of the most popular machine learning algorithm these days. Regardless of the type of prediction task at hand; regression or classification.K-Means Clustering in Python with scikit-learn
Learn about the inner workings of the K-Means clustering algorithm with an interesting case study.Setup a Data Science Environment on your Computer
Learn about the various options you have to setup a data science environment with Python, R, Git, and Unix Shell on your local computer.Using Python to Power Spreadsheets in Data Science
Learn how Python can be used more effectively than Excel, with the Pandas package.TensorBoard Tutorial
Visualize the training parameters, metrics, hyperparameters or any statistics of your neural network with TensorBoard!How to Install and Use Homebrew
Discover Homebrew for data science: learn how you can use this package manager to install, update, and remove technologies such as Apache Spark and Graphviz.How to install R on Windows, Mac OS X and Ubuntu
This is a beginner guide that is designed to save yourself a headache and valuable time if you decide to install R yourself.Pandas Tutorial: Importing Data with read_csv()
Importing data is the first step in any data science project. Learn why today's data scientists prefer pandas' read_csv() function to do this.Markov Chains in Python: Beginner Tutorial
Learn about Markov Chains, their properties, transition matrices, and implement one yourself in Python!Survival Analysis in R For Beginners
In this tutorial, you'll learn about the statistical concepts behind survival analysis and you'll implement a real-world application of these methods in R.must read
machine learning