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1. How to Speed up Pandas by 4x with one line of code
   
   
2. 10 Free Must-read Books on AI
3. The Complete Data Science LinkedIn Profile Guide
4. How to select rows and columns in Pandas using [ ], .loc, iloc, .at and .iat
5. 5 Statistical Traps Data Scientists Should Avoid
6. How to Become a (Good) Data Scientist — Beginner Guide
7. Everything a Data Scientist Should Know About Data Management

1. How to Speed up Pandas by 4x with one line of code
2. The Complete Data Science LinkedIn Profile Guide
3. How Data Analytics Can Assist in Fraud Detection
4. Research Guide for Depth Estimation with Deep Learning
5. Beginners Guide to the Three Types of Machine Learning
6. How to Visualize Data in Python (and R)
7. How I Got Better at Machine Learning

• Three Methods of Data Pre-Processing for Text...
• Python, Selenium & Google for Geocoding ...
• Neural Networks 201: All About Autoencoders
• Python Tuples and Tuple Methods
• The Semiconductor Imperative for Driving Mean...

• The Notebook Anti-Pattern
• Stop explaining black box machine learning mo...
• Why write for KDnuggets? Calling for original...
• Reproducibility, Replicability, and Data Science
• Data Science for Managers: Programming Languages

• Live Webinar: Continual Learning with Human-i...
• AI ROI: The Questions You Need To Be Asking
• MLOps for production-level machine learning [...
• 3 Reasons to attend Data Natives, 25-26 Novem...
• Monitoring Models at Scale