Extreme Value Theory in a Nutshell with Various Applications by Hanan Ahmed buff.ly/3zcGQg3

A Quick Guide to Cross-Entropy Loss Function by Rocco DiSipio buff.ly/3zdkgnQ

Imbalanced Data — Oversampling Using Gaussian Mixture Models by Bassel Karami buff.ly/34Wwxis

5 Minutes Cheat Sheet Explaining all Machine Learning Models by Anvee Naik buff.ly/3pxmvO5

NetworkX: Code Demo for Manipulating Subgraphs by Jinhang Jiang buff.ly/2TI6Csl

7 NLP Techniques You Can Easily Implement with Python by Frank Andrade buff.ly/3wazlVd

"Calculating the Area under the Receiver Operating Characteristic curve is the most intuitive tool to compare the effectiveness of different classifiers." Learn how to do this in Rocco DiSipio's guide. buff.ly/3cuPPPV

Writing about Data Fusion, Guillaume Dupont shows how it allowed him to set up an end-to-end data warehouse in days rather than months. buff.ly/3wfW5mA

Data science + gardening + Raspberry Pi = Christian Hollinger's odyssey of bringing a vegetable garden to life during the pandemic. buff.ly/3pRFm6S

Geographical plotting of maps with Plotly by Jenny Dcruz buff.ly/3whkXdL

If you could confidently predict that a customer was going to leave a negative review, what would your business do differently? Chuck Utterback answers this question in his latest TDS piece. buff.ly/3cSmZcG

6 Reasons to Spend More Time Thinking About Labels by Jean Voigt buff.ly/3cmSDig

Exploring Audio Datasets with Python by Pascal Janetzky buff.ly/2VScZdG

Sports analytics fans, you'll appreciate this one: Brayden Gerrard takes a data-driven look at the drafting success of all 30 NBA teams. buff.ly/3i7xbRJ

10 Best Practices to Write Readable and Maintainable SQL Code by Martins David buff.ly/3fj1GCi

22 New Data Science Interview Questions for 2022 by Terence Shin buff.ly/30IzfcM

Learn a simple way to move data from Google Cloud Storage to BigQuery — here's Jim Barlow's quick, handy tutorial. buff.ly/3Fo8okA

How does L1 and L2 regularization work? Rashida Nasrin Sucky explains in an accessible, plan-English post. buff.ly/3HCc8kh

A very interesting visual guide to understanding Pearson's correlation by Samuele Mazzanti in Towards Data Science. As a bonus, the article also covers the Simpson's paradox. towardsdatascience.com/correlation-ex…

What I Learned While Implementing Computer Vision Papers by Lilit Yolyan buff.ly/3hJMDCm