October is in the books, and since sufficient time has passed in order to normalize the post-publication performance metric recording period, let's have a look at the top posts of the month. The top post of the month was 10 Cheat Sheets You Need To Ace Data Science Interview, a great curated collection of resources for learning, cramming, and referencing. The post includes cheat sheets on the topics of SQL, web scraping, statistics, data wrangling, data visualization, business intelligence, machine learning, deep learning, and natural language processing, as well as a series of "Super Cheat Sheets" covering numerous topics on their own. Rounding out the list of top 8 posts of the month are an especially competitive collection, with all resonating comparably strong with our readers this month. Congratulations to all writers that had an article place in the top posts, and we look forward to next month's contributions.

Free AI for Beginners Course • How to Perform Motion Detection Using Python • The Complete Data Science Study Roadmap • Free Python Project Coding Course • The Complete Collection of Data Science Projects • Most In-demand Artificial Intelligence Skills • 3 Free Statistics Courses for Data Science

July has come and gone (some time ago, at this point), but we're going to revisit and rundown the top posts on KDnuggets for the month. Far and away the most popular post of July was Machine Learning Algorithms Explained in Less Than 1 Minute Each by Nisha Arya. Looking to get the ELI5 on some of the most popular algorithms? KDnuggets Editor Matthew Mayo shared a pair of well-received posts highlighting Python courses. The posts are Free Python Automation Course and Free Python Crash Course, the contents of which are self-explanatory.

Researchers at Stanford have developed an Artificial Intelligence (AI) model,' StockBot', which uses LSTMs to predict stock prices with gains higher than the most aggressive ETFs Comprehensive Guide to GitHub for Data Scientists The 8 Neural Network Architectures #MachineLearning Researchers Need to Learn #KDnuggets Vaex: Pandas but 1000x faster #KDnuggets 10 Modern Data Engineering Tools #KDnuggets Researchers at Stanford have developed an Artificial Intelligence (AI) model,' StockBot', which uses LSTMs to predict stock prices with gains higher than the most aggressive ETFs Machine Learning Algorithms Explained in Less Than 1 Minute Each by Nisha Arya Free Python Automation Course by Matthew Mayo Decision Tree Algorithm, Explained by Nagesh Singh Chauhan Parallel Processing Large File in Python by Abid Ali Awan The 5 Hardest Things to Do in SQL by Josh Berry Linear Algebra for Data Science by Benjamin O. Tayo Free Python Crash Course by Matthew Mayo 15 Python Coding Interview Questions You Must Know For Data Science by Nate Rosidi Top Programming Languages and Their Uses by Claire D. Costa Naive Bayes Algorithm: Everything You Need to Know by Nagesh Singh Chauhan

Decision Tree Algorithm, Explained by Nagesh Singh Chauhan 21 Cheat Sheets for Data Science Interviews by Nate Rosidi 15 Python Coding Interview Questions You Must Know For Data Science by Nate Rosidi Naïve Bayes Algorithm: Everything You Need to Know by Nagesh Singh Chauhan 14 Essential Git Commands for Data Scientists by Abid Ali Awan Top Programming Languages and Their Uses by Claire D. Costa 3 Ways Understanding Bayes Theorem Will Improve Your Data Science by Nicole Janeway Bills DBSCAN Clustering Algorithm in Machine Learning by Nagesh Singh Chauhan The Complete Collection of Data Science Books – Part 2 by Abid Ali Awan 5 Different Ways to Load Data in Python by Ahmad Anis Top Posts June 13-19: 14 Essential Git Commands for Data Scientists 20 Basic Linux Commands for Data Science Beginners KDnuggets News, June 15: 14 Essential Git Commands for Data Scientists; A… KDnuggets Top Posts for March 2022: Why Are So Many Data Scientists… Top Posts April 4-10: The Complete Collection Of Data Repositories – Part 1 Top Posts March 21-27: Why Are So Many Data Scientists Quitting Their Jobs? Top Posts March 21-27: Why Are So Many Data Scientists Quitting Their Jobs?