Learn data science best practices.


Jonathan RegensteinOctober 15, 2018

How To Calculate The Standard Deviation Of A Financial Portfolio In R, Part 2: Component...

RStudio's Jonathan Regenstein dives into part two of his three-part series on calculating the volatility of a financial portfolio using R. In this post, learn how to investigate the degree to which a...

Blaine BatemanSeptember 17, 2018

Challenges of Generalization in Machine Learning

EAF LLC Founder & Chief Data Engineer Blaine Bateman breaks down the efficacy of using validation performance to choose a model, and k-fold validation to predict future accuracy.

Vinay KaragodSeptember 6, 2018

How to Handle Imbalanced Data: An Overview

Microsoft's Vinay Karagod provides an overview of several methods for handling data imbalances that can make data science projects a lot more challenging.

David Ellison, PhDAugust 9, 2018

Fraud Detection Using Autoencoders in Keras with a TensorFlow Backend

Lenovo's David Ellison explains how autoencoders in Keras can be used to detect fraud. Read the tutorial the learn this invaluable TensorFlow application.

Tarek AmrJuly 23, 2018

Experimenting The Bayesian Way

Machine Learning Scientist Tarek Amr uses Python, NumPy, and Matplotlib to demonstrate how Bayesian analysis can help you choose the scenario with the best outcome, even if you don't have a lot of...

Emily Glassberg Sands and Duncan GilchristJune 28, 2018

5 Tricks When A/B Testing Is Off The Table

This applied introduction to causal inference in tech was written by Coursera's Head of Data Science Emily Glassberg Sands and Uber's Rider Pricing and Marketplace Experimentation Science lead Duncan...

Seyed SajjadiJune 21, 2018

Introduction to Churn Prediction in Python

Learn the basics of predicting customer churn using Python in this tutorial by Seyed Sajjadi.

Raul EulogioJune 4, 2018

How to Explore Apple Watch Data in R

IoT devices like the Apple Watch present an interesting opportunity for data analysis and visualization. Data Analyst Raul Eulogio looks at a year's worth of calories burned to identify trends in an...

Roman Josue de las Heras TorresMay 29, 2018

7 Ways Time-Series Forecasting Differs from Machine Learning

Roman Josue de las Heras Torres, a data scientist for SAP Digital Interconnect, shares seven key ways that time-series forecasting differs from machine learning.

Iliya ValchanovMay 3, 2018

A Visual Guide to Analytics, Data Science, Business Intelligence, Machine Learning, and AI

365 Data Science Cofounder Iliya Valchanov builds a comprehensive Euler diagram to explain the similarities and differences of data science, business intelligence, machine learning, artificial...