The video discusses logistic regression classifier using Scikit-learn and Statsmodels in Python.
Timeline
(Python 3.8)
00:00 - Outline of video
00:31 - Open Jupyter notebook
00:45 - Data: .load_iris()
02:40 - LogisticRegression()
04:45 - Confusion matrix
09:06 - RidgeClassifier()
10:50 - Data: spector
13:42 - Statsmodels: Logit()
15:22 - Statsmodels: Logit(): summary
21:19 - Scikit-learn: LogisticRegression()
24:14 - Coefficients: Scikit-learn vs. Statsmodels
26:00 - LogisticRegressionCV()
27:52 - Ending notes
