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

Logistic Regression Explained :Part 1, by Aarthi Kasirajan

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

Decision Tree :Explained. A decision tree is drawn upside down

Brief Summary of Types of Correlation Coefficients

Ridge Regression(L2 Regularization Method)

Data Distribution Types. A data distribution is a function which

Data Distribution Types. A data distribution is a function which

Optimization Techniques popularly used in Deep Learning

Logistic Regression Part 2: Error Metric

Elementary Understanding of Regression, by Aarthi Kasirajan

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

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

Data Distribution Types. A data distribution is a function which