mathematics · data – Math Applications
Designing an effective classification model requires an upfront selection of an appropriate classification metric. This posts walks you through an example of three possible metrics (accuracy, precision, and recall) while teaching you how to easily remember the definition of each one. Read More ›
python – Python Basics
Python is one of the most popular computer programming languages in the world. Find out how Python is used for data science in interview with Course Report. Read More ›
python · datetime – Datetime
Working with dates and times in Python can lead to frustration, heartache, and, ironically, lost time – but it doesn’t have to! This brief demo introduces Delorean, a library constructed to make datetime manipulation in Python easier. Read More ›
mathematics · applications – Math Applications
The Gini coefficient is a good general-purpose measure of statistical dispersion. Long since popular in the field of economics, this metric can be leveraged much more broadly to explore data from nearly any discipline. The following post includes a thorough mathematical explanation of the Gini coefficient as well as a few non-standard use cases. Read More ›
data · web scraping – Web Scraping
Do you want to get started with web scraping using Python? Find out more in this Real Python podcast. Read More ›
data · web scraping – Web Scraping
Developing web scraping skills allows you to save time and to broaden your access to data. This tutorial covers web scraping with Python from the basics of HTML to the full scraping pipeline. Read More ›
nlp – NLP
spaCy provides an easy-to-use framework for getting started with NLP. This post covers the basics of spaCy and highlights its functionality on a small corpus of restaurant reviews.. Read More ›
mathematics – Math Skills
Math skills are critical for a successful career in data science. Find out why in this interview with Course Report. Read More ›
visualizations · puzzles – Math Puzzles
Math puzzles provide great amusement for some people, but many others approach them with dread--especially during interviews. Such trepidation may be unwarranted, however, because a simple visual--like the ones illustrated in this post--could be all you need to find a solution. Read More ›
data · web scraping – Data
You can mine YouTube's massive content library for many different types of data. This post provides instructions for obtaining the videos themselves, the video transcripts, as well as YouTube search results. Read More ›