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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…
UNDERFIT and OVERFIT Explained. The main aim here is to find the
An Introduction to Machine Learning, 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
Linear Regression using Sum of Least Squares
Optimization Techniques popularly used in Deep Learning
Optimization Techniques popularly used in Deep Learning
Describing Normal Distribution. It is a type of probability
Introduction to Machine Learning. WHAT IS MACHINE LEARNING?
Describing Normal Distribution. It is a type of probability
Ridge Regression(L2 Regularization Method)
Logistic Regression Part 2: Error Metric
Decision Tree :Explained. A decision tree is drawn upside down
Linear Regression using Gradient Descent Algorithm
