MLR assignment
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Updated
May 20, 2021 - Jupyter Notebook
MLR assignment
Multiple-Linear-Regression-1. Consider only the below columns and prepare a prediction model for predicting Price of Toyota Corolla.
Assignment-05-Multiple-Linear-Regression-2. 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 y…
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…
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…
Predicting wage in the uswage dataset (Linear Regression). Model Selection, Model Diagnostics etc.
Prediction of Miles per gallon (MPG) Using Cars Dataset
Consider only the below columns and prepare a prediction model for predicting Price. Corolla<-Corolla[c("Price","Age_08_04","KM","HP","cc","Doors","Gears","Quarterly_Tax","Weight")]
Prediction of Salary of individuals based on years of experience
Prediction of Delivery Time of newspapers using Sorting Time
Business Case : The Waist Circumference - Adipose Tissue
Feasibility of staring a Sunday edition for a large Metroplitan newsapaper
Multi_Linear_Regression_on_Cars_data_to_predict_MPG
Prediction model for profit of 50_startups data
Prediction-model-for-predicting-Price-of-Cars
Used libraries and functions as follows:
Used libraries and functions as follows:
This repository contains notebook introducing reader to basic concepts of multilinear regression and its application.
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.
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