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Creating Synthetic features using Feature Crosses in Machine Learning
Feature crosses Improves a linear regression model with the additon of synthetic features
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Introduction
What is Machine Learning
Supervised Learning
UnSupervised Learning
Reinforcement Learning
Model and Cost Function
Gradient Descent
Hyperparameter Tuning
Stochastic Gradient Descent
MiniBatch Gradient Descent
Overfitting
Feature Engineering
Best Practices
Feature Cleansing
Feature Scaling
Feature Crosses
ML Algorithms
Linear Regression
Logistic Regression