UNDERFIT and OVERFIT Explained. The main aim here is to find the best…, by Aarthi Kasirajan
By A Mystery Man Writer
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
Optimization Techniques popularly used in Deep Learning
Decision Tree :Explained. A decision tree is drawn upside down
Logistic Regression Part 2: Error Metric
Optimization Techniques popularly used in Deep Learning
Describing Normal Distribution. It is a type of probability
Ridge Regression(L2 Regularization Method)
Linear Regression using Gradient Descent Algorithm
Describing Normal Distribution. It is a type of probability
Logistic Regression Part 2: Error Metric
Logistic Regression Part 2: Error Metric
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