UNDERFIT and OVERFIT Explained. The main aim here is to find the best…, by Aarthi Kasirajan

The main aim in any model is to find the best fit line that satisfies most (if not all ) data points given in the dataset. In a Regression model(for this case), the main aim here is to find the best…

Linear Regression using Gradient Descent Algorithm

Describing Normal Distribution. It is a type of probability

UNDERFIT and OVERFIT Explained. The main aim here is to find the

Describing Normal Distribution. It is a type of probability

Introduction to Machine Learning. WHAT IS MACHINE LEARNING?

UNDERFIT and OVERFIT Explained. The main aim here is to find the

UNDERFIT and OVERFIT Explained. The main aim here is to find the

UNDERFIT and OVERFIT Explained. The main aim here is to find the

Ridge Regression(L2 Regularization Method)

UNDERFIT and OVERFIT Explained. The main aim here is to find the

Logistic Regression Part 2: Error Metric

Brief Summary of Types of Correlation Coefficients

Data Distribution Types. A data distribution is a function which

Logistic Regression Explained :Part 1, by Aarthi Kasirajan