In this era, everything is influenced by Artificial Intelligence, Machine Learning, and deep learning. Nowadays it is common to use very big datasets and we need fast and efficient optimization algorithms to get the leverage…

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*Browsing Category*
Machine Learning

## Logistic Regression Story

Logistic regression is one of the most commonly used algorithms for machine learning and is a building block for neural networks. It is really important to understand the concepts and the derivations of logistic regression….

## Multiple Regression from Scratch in Python

Previously, we have discussed briefly the simple linear regression. Here we will discuss multiple regression or multivariable regression and how to get the solution of the multivariable regression. At the end of the post, we…

## Simple Linear Regression: An Introduction to Regression from scratch

Regression is a very fundamental concept in statistics, machine learning and in Neural Network. Imagine plotting the correlation between rainfall frequency and agriculture production in high school. Increase in rainfall generally increases agriculture production. Fitting…

## Bias-Variance: A Comprehensive Graphical Representation

To build an accurate machine learning model we need to have a proper understanding of the error. In forming predictions of a model there are three sources of error: noise, bias, and variance. Having proper…