## Elo Merchant Category Recommendation – Kaggle Competition

Table Of Contents:     1) Business Problem     2) Data description     3) Exploratory Data Analysis     4) Data preparation/Feature engineering     5) Model Building     6) Submit model on Kaggle  1. Business Problem  1.1) Problem Description: Elo Merchant Category Recommendation” […]

## Simple Linear Regression using Keras

Regression is a statistical approach used for predicting real values like age, weight, salary, for example. In regression, we have a dependent variable which we want to predict using some independent variables. The goal of regression […]

## Assumptions Made by Ordinary Least Squares(OLS)

Introduction: Ordinary Least Squares(OLS) is a commonly used technique for linear regression analysis. OLS makes certain assumptions about the data like linearity, no multicollinearity, no autocorrelation, homoscedasticity, normal distribution of errors. Violating these assumptions may reduce […]

## Introduction To Linear Regression(Part-2)

In the previous part of the Introduction to Linear Regression, we discussed simple linear regression. Simple linear regression is a basic model with just two variables an independent variable x, and a dependent variable y based […]