Most real-world data sets have outliers that have unusually small or big values then the typical values of the data set. Outliers can have a negative impact on data analysis if not detected correctly and…

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*Posts Published by*
milon101

## Descriptive Statistics: A Brief Introduction

Statistics is very important in our day to day life. There are so many applications of statistics in sectors like predictive analytics, machine learning, etc. It is really important to understand statistics well in order…

## 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…

## Regularization in Neural Network

In the earlier era of machine learning, there used to be a lot of discussion on the bias-variance trade-off and the reason for that was we could increase bias and reduce variance, or reduce bias and increase variance. But back…

## Neural Network: A Complete Beginners Guide

Neural Network has become a crucial part of modern technology. It has influenced our daily life in a way that we have never imagined. From e-commerce and solving classification problems to autonomous driving, it has…

## Differential Equations: Classification

Differential Equations An equation involving derivatives of one or more dependent variables with respect to one or more independent variables is called a differential equation. For example: \begin{equation} \frac{d^{2}y}{dx^2} + xy \left( \frac{dy}{dx}\right)^2 = 0…

## IRIS Data Classification Using Neural Net

The Iris flowers dataset is one of the best-known datasets found in the classification literature. The goal is to classify Iris flowers among three species (Setosa, Versicolor or Virginica) from measurements of length and width…