The given dataset contains electricity consumer household information. This information has been used to predict the amount to be paid by the consumer with the help of regression model selection and validated with feature importance.

Used libraries and functions as follows:

Multi_Linear_Regression_on_Cars_data_to_predict_MPG

Prediction of Delivery Time of newspapers using Sorting Time

Prepare a prediction model for profit of 50_startups data. Do transformations for getting better predictions of profit and make a table containing R^2 value for each prepared model. R&D Spend -- Research and devolop spend in the past few years Administration -- spend on administration in the past few years Marketing Spend -- spend on Marketing in t

Prediction-model-for-predicting-Price-of-Cars

Prediction of Salary of individuals based on years of experience

Prepare a prediction model for profit of 50_startups data. Do transformations for getting better predictions of profit and make a table containing R^2 value for each prepared model. Consider only the below columns and prepare a prediction model for predicting Price. Corolla<-Corolla[c("Price","Age_

Detailed implementation of various regression analysis models and concepts on real dataset.

Feasibility of staring a Sunday edition for a large Metroplitan newsapaper

Supervised-ML---Multiple-Linear-Regression---Cars-dataset. Model MPG of a car based on other variables. EDA, Correlation Analysis, Model Building, Model Testing, Model Validation Techniques, Collinearity Problem Check, Residual Analysis, Model Deletion Diagnostics (checking Outliers or Influencers) Two Techniques : 1. Cook's Distance & 2. Levera…

Prediction model for profit of 50_startups data

Supervised-ML---Multiple-Linear-Regression---Toyota-Cars. EDA, Correlation Analysis, Model Building, Model Testing, Model Validation Techniques, Collinearity Problem Check, Residual Analysis, Model Deletion Diagnostics (checking Outliers or Influencers) Two Techniques : 1. Cook's Distance & 2. Leverage value, Improving the Model, Model - Re-buil…

MLR assignment

This repository contains notebook introducing reader to basic concepts of multilinear regression and its application.

Used libraries and functions as follows:

Predicting wage in the uswage dataset (Linear Regression). Model Selection, Model Diagnostics etc.

Business Case : The Waist Circumference - Adipose Tissue

Multiple-Linear-Regression-1. Consider only the below columns and prepare a prediction model for predicting Price of Toyota Corolla.p