KDnuggets News, July 6: 12 Essential Data Science VSCode Extensions; Statistics and Probability for Data Science
12 Essential VSCode Extensions for Data Science; Statistics and Probability for Data Science; Free Python Crash Course; Linear Machine Learning Algorithms: An Overview; 7 Steps to Mastering Python for Data Science
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KDnuggets News
- 12 Essential VSCode Extensions for Data Science by Abid Ali Awan
- Statistics and Probability for Data Science by Benjamin O. Tayo
- Free Python Crash Course by Matthew Mayo
- Statistics and Probability for Data Science by Benjamin O. Tayo
From Our Partners
- The Resilient ML Stack is Modular by Comet ML
This Week's Posts
- Linear Machine Learning Algorithms: An Overview by Derrick Mwiti
- 7 Steps to Mastering Python for Data Science by Natassha Selvaraj
- Making Sense of CRISP-ML(Q): The Machine Learning Lifecycle Process by Abid Ali Awan
- Top 5 Data Management Platforms by Nisha Arya
- Machine Learning Model Management by Nisha Arya
- Celebrating Women in Leadership Roles in the Tech Industry by Gene Marrano
- Linear Regression for Data Science by Benjamin O. Tayo
- Developing an Open Standard for Analytics Tracking by Ivar Pruijn
- Data Preparation in R Cheatsheet by Stan Pugsley
- 7 Steps to Mastering Python for Data Science by Natassha Selvaraj
From Around The Web
- Three Ways to Build Machine Learning Models in Keras by Zhe Ming Chng
- Hands-On Introduction to Github Actions for Data Scientists by Dr. Varshita Sher
- Goodbye Excel. Hello Spreadsheets in Python! by Frank Andrade
- How to Grid Search Hyperparameters for Deep Learning Models in Python With Keras by Jason Brownlee
- So You’ve Got a Really Big Dataset. Here’s How You Clean It. by Ang Li-Lian
- Orchestrate Your Data Science Project with Prefect 2.0 by Khuyen Tran
- Hands-On Introduction to Github Actions for Data Scientists by Dr. Varshita Sher
KDnuggets News