python
+1

Poker Probability and Statistics with Python

Tackle probability and statistics in Python: learn more about combinations and permutations, dependent and independent events, and expected value.
65
65
python
+2

Graph Optimization with NetworkX in Python

This NetworkX tutorial will show you how to do graph optimization in Python by solving the Chinese Postman Problem in Python.
63
63
must read
machine learning
+4

Detecting Fake News with Scikit-Learn

This scikit-learn tutorial will walk you through building a fake news classifier with the help of Bayesian models.
must read
machine learning
+4
85
85
python
+1

Python Seaborn Tutorial For Beginners

This Seaborn tutorial introduces you to the basics of statistical data visualization
114
114
machine learning
+3

Apache Spark Tutorial: ML with PySpark

Apache Spark tutorial introduces you to big data processing, analysis and ML with PySpark.
74
74
python
+2

Scikit-Learn Tutorial: Baseball Analytics Pt 2

A Scikit-Learn tutorial to using logistic regression and random forest models to predict which baseball players will be voted into the Hall of Fame
28
28
r programming
+1

The data.table R Package Cheat Sheet

The data.table cheat sheet helps you master the syntax of this R package, and helps you to do data manipulations.
32
32
python
+1

5 Tips To Write Idiomatic Pandas Code

This tutorial covers 5 ways in which you can easily write pandorable or more idiomatic Pandas code.
26
26
python

Asyncio: An Introduction

A short introduction to asynchronous I/O with the asyncio package.
11
11
python
+3

Scikit-Learn Tutorial: Baseball Analytics Pt 1

A scikit-learn tutorial to predicting MLB wins per season by modeling data to KMeans clustering model and linear regression models.
36
36
data visualization
+1

Viewing 3D Volumetric Data With Matplotlib

In this Python tutorial, you'll make use of Matplotlib's event handler API to display the slices of an MRI data set.
23
23
data visualization
+1

The R Graph Gallery's Top 5 Most Visited Graph Themes

A list of the 5 most popular graphs among R users and enthusiasts.
data visualization
+1
11
11
data manipulation
+3

Exploratory Data Analysis of Craft Beers: Data Profiling

In this tutorial, you'll learn about exploratory data analysis (EDA) in Python, and more specifically, data profiling with pandas.
25
25
python
+2

Apache Spark in Python: Beginner's Guide

A beginner's guide to Spark in Python based on 9 popular questions, such as how to install PySpark in Jupyter Notebook, best practices,...
105
105
machine learning
+2

Deep Learning With Jupyter Notebooks In The Cloud

This step-by-step tutorial will show you how to set up and use Jupyter Notebook on Amazon Web Services (AWS) EC2 GPU for deep learning.
88
88