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Business Machine Learning/

...

Logistic Regression Implementation

Implement the logistic regression.

We'll cover the following...

The data and its overview
Linear regression vs. logistic regression
Decision boundary
Interpretation of the coefficients

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Course Introduction

Linear Regression

Regularization

Bias-Variance Trade-off

Categorical Features

Logistic Regression

Logistic Regression: Titanic Data

Sentiment Analysis Using Multinomial Logistic Regression

Multiclass Classification and Handling Imbalanced Classes

Project: Predicting Chronic Kidney Disease

K-Nearest Neighbors

Implementation of K-Nearest Neighbors

Logistic Regression vs. KNN

Decision Tree Learning

Implement the Decision Tree Classifier from Scratch

Bootstrapping and Confidence Interval

Support Vector Machine

Practice and Comparisons

What's Next?

Appendix

Logistic Regression Implementation