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Business Machine Learning/

...

Feature Scaling

Scale the features, train a model, and compare.

We'll cover the following...

Scale and save
Retrain a model using scaled features and evaluate

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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

Feature Scaling