What’s popular in machine learning
Your source for what’s next
Your source for what’s next
June 2, 2026
Machine Learning from Scratch
Presented by Thomas Nield

May 21, 2026
Microsoft Fabric Machine Learning Fundamentals
Presented by Nicki Tinson

June 1, 2026
Quantifying AI Risk
Presented by Suneeta Modekurty

June 10, 2026
Hugging Face Fundamentals for Machine Learning
Presented by Noureddin Sadawi

June 16, 17 & 18, 2026
Databricks Machine Learning Associate Certification Prep
Presented by Yasir Khan

May 19 & 20, 2026
Machine Learning for Engineers
Presented by Chelsea Troy

Handling Categorical Data: Handling Imbalanced Classes
By Vishwesh Ravi Shrimali
Handling imbalanced classes in Scikit-Learn using upsampling and downsampling ...
Handling Categorical Data: Imputing Missing Class Values
By Vishwesh Ravi Shrimali
Imputing missing class values using mode and k-NN model ...
Machine Learning: Visualize GloVe Vectors Using PCA
By Matt Kirk
A simple approach to visualizing text clusters ...
Python ML Cookbook: Wrangling Data (Part 2)
By O'Reilly Media, Inc.
Recipes from Machine Learning with Python Cookbook ...
DVC: Creating a Machine Learning Pipeline
By Danilo Sato
Learn to create a reproducible ML pipeline using DVC ...
Polynomial Regression Using Python
By Siddharth Yadav
In this lab, you will learn how to perform polynomial regression effectively ...