## Gradient Descent

Gradient Descent is an algorithm that tries to seek the best values of predictors that give the lowest error.

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Gradient Descent is an algorithm that tries to seek the best values of predictors that give the lowest error.

Dimensionality Reduction Through Principal Component Analysis

Using anova() to compare 2 nested models.

Using Support Vector Machine (SVM) for Regression.

Using Support Vector Machine (SVM) for Classification.

Manually calculate multiple regression.

Fitting polynomial regression in R is easy.

Sometimes a polynomial regression gives a better result than a linear regression

Covariance and Correlation are other fundamental concepts.

These basic calculations are the building blocks of advanced machine learning methods.