Tutorials

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
r programming
32
32
must read
python

Python List Index()

In this tutorial, you will learn exclusively about the index() function.
14
14
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".
must read
learning data science
10
10
must read
python
+1

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.
25
25
must read
scikit-learn
+1

K-Means Clustering in Python with scikit-learn

Learn about the inner workings of the K-Means clustering algorithm with an interesting case study.
must read
scikit-learn
+1
15
15
must read
git
+3

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.
24
24
must read
pandas
+2

Using Python to Power Spreadsheets in Data Science

Learn how Python can be used more effectively than Excel, with the Pandas package.
78
78
must read
neural networks
+2

TensorBoard Tutorial

Visualize the training parameters, metrics, hyperparameters or any statistics of your neural network with TensorBoard!
must read
neural networks
+2
21
21
must read
spark
+1

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.
13
13
must read
tidyverse
+1

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.
11
11
must read
pandas
+1

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.
37
37
must read
python
+1

Markov Chains in Python: Beginner Tutorial

Learn about Markov Chains, their properties, transition matrices, and implement one yourself in Python!
65
65
must read
statistical modeling
+1

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
statistical modeling
+1
56
56
must read
machine learning

A Beginner's Guide to Object Detection

Explore the key concepts in object detection and learn how they are implemented in SSD and Faster RCNN, which are available in the Tensorflow Detection API.
must read
machine learning
44
44
must read
r programming
+1

Logistic Regression in R Tutorial

Discover all about logistic regression: how it differs from linear regression, how to fit and evaluate these models it in R with the glm() function and more!
must read
r programming
+1
50
50