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Non-linear Activation Functions

Activation functions are any functions that defines the output of a neuron. The activation function associated with each neurons in

Following is the code to implement KNN algorithm from scratch in python import pandas as pd import numpy as np

In computing, Data transformation is the method of transforming data from one format or structure to another format or structure.

Decimal Normalization is a normalization technique in which we normalize the given value by moving the decimal points of that

Min-Max normalization performs the linear transformation on original data. Let (X1, X2) be a min and max boundary of an

Gradient descent is one of the most common method of training a neural network. It is an optimization algorithm used

Normalization or standardization is defined as the process of rescaling original data without changing its original behavior or nature. It

Machine Learning is one of the widely talked topic of present time. It has gain popularity because of its wide

Linear Regression Algorithm is one of the simplest and easy Regression algorithms in Machine Learning. It is easy to code

Following is the complete code to implement Logistic Regression Algorithm in Python from Scratch using Numpy only: import numpy