Logistic Regression using Python
Code: https://github.com/mGalarnyk/Python_T...
Interactive Logistic Regression Visualization: https://github.com/mGalarnyk/Python_T...
00:00: Introduction (LogisticRegression.ipynb)
01:05: Visualizing Relationship between worst_concave_points and diagnosis (LogisticRegression.ipynb)
03:13: What is Logistic Regression (LogisticRegression.ipynb)
03:47: Showing Predictions for Logistic Regression (LogisticRegression.ipynb)
05:46: Advantages and Disadvantages of Logistic Regression (LogisticRegression.ipynb)
07:10: Evaluating Logistic Regression with accuracy and a confusion matrix (LogisticRegression.ipynb)
08:35: True Negatives, False Positives, False Negatives, and True Positives (LogisticRegression.ipynb)
09:27: Sensitivity, Specificity, Type 1 Error, and Type 2 Error (LogisticRegression.ipynb)
11:37: Trading True Positive and True Negatives through an ROC Curve (LogisticRegression.ipynb)
12:49: Interactive Logistic Regression Visualization (http://mfviz.com/binary-predictions/)
14:51: Logistic Regression on the Titanic Dataset
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