Class Notes¶

Class notes will get posted here day by day

2020-09-11: Jupyter Notebook tour, conditionals, functions
2020-09-14: Iterables, Pandas
2020-09-16: Pandas loading and exploring
2020-09-18: Pandas, Functions as Object, Dictionaries
2020-09-21: Exploratory Data Analysis, Split, apply, Combine
2020-09-23: Visualization for EDA
2020-09-25: Viz & Cleaning
2020-09-28: Preparing data for analysis
2020-09-30: Reading complex data and Ray Summit
2020-10-02: Cleaning Data
2020-10-05: Merging DataFrames
2020-10-07: Merging & Databases
2020-10-12: Intro to ML
2020-10-14: Naive Bayes Classifier
2020-10-16: Classification Metrics
2020-10-19: Mid-Semester Feedback & Naive Bayes Decision rules
2020-10-21: Decision Trees
2020-10-23: Decision Trees & Cross validation
2020-10-26: Regression
2020-10-28: More Regression & More Evaluation
2020-10-30: Interpretting Regression Metrics
2020-11-02: Clustering
2020-11-04: Evaluating Clustering
2020-11-06: More Clustering Models
2020-11-09: Optimizing Clustering Models
2020-11-13: SVM & Grid Search
2020-11-16: Model Selection
2020-11-18: Learning and Validation Curves
2020-11-20: Confidence Intervals
2020-11-23: Intro to NLP
2020-11-25: More NLP
2020-11-20: More text representations

Policies Class 2: intro to notebooks and python