notes

• intro class
• Fri Jan 24 - getting started
• Tue Jan 28 - code review 1
• Fri Jan 31 - visualization
• Tue Feb 4 - csv munging and plotting practice
• Fri Feb 7 - statistics
• Tue Feb 11
• Fri Feb 14 - probability
• Tue Feb 18 - inference
• Fri Feb 21 - machine learning overview
• Tue Feb 25
• Fri Feb 27 - k nearest neighbors
• Tue Mar 3 - no class
• Fri Mar 6 - finish k nearest neighbors ... start Bayes spam ?
• Tue Mar 10 - naive bayes spam filter
• Fri Mar 13 - finish naive bayes
• ⸺ spring break ⸺
• Tue Mar 31 - discuss virtual ... start linear regression
• Fri Apr 3 - more linear regression
• Tue Apr 7 - covid19 ?
• Fri Apr 10 - neural nets - resources & readings
• Tue Apr 14 - deeeep learning ...
• Fri Apr 17 - deep: scratch, pytorch, tensorflow
• Tue Apr 21 - decision trees
• Fri Apr 24 - clustering
• Tue Apr 28 - NLP
• Thu Apr 30 - recommender engines, sql
• Tue May 5 : last class ...