Diagnostic tools for regression modeling. Julia-equivalent for diagnoser (https://github.com/robertschnitman/diagnoser).

Performed linear regression and residuals analysis on college tuition fees and admission rate in R.

University group project concerning the sensorless estimation of the contact forces between a needle mounted on the end-effector of a robot manipulator and a penetrated tissue, and subsequent prediction of layer ruptures using Recursive Least Squares algorithm.

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

Predictive Analysis Course's notes for Computer Science B.S. at Ca' Foscari University of Venice

Prediction of Delivery Time of newspapers using Sorting Time

Linear Regression to identify the important physicochemical properties of the substrate that influence the aerial biomass production in the Cape Fear Estuary.

Linear regression is also a type of machine-learning algorithm more specifically a supervised machine-learning algorithm that learns from the labeled datasets and maps the data points to the most optimized linear functions.

Business Case : The Waist Circumference - Adipose Tissue

Compute a moving root mean squared error (RMSE) incrementally.

simple short stata program to residualize some variable on some other variables

This data visualization package utilizes a unique and informal comparative data analysis and regression presentation.

Given features of car, training the model to predict the car price.

Numerical Methods: "Life Expectancy & Linear Regression" Group Project - 2nd Semester 2021 - Computer Science, UBA

To increase efficiency of a cotton mill. I set up an ANOVA 3 factor analysis model in R to determine best spindle & position that produces the longest roving. The only significant difference in roving length was observed when position was 3 and spindle was 1 or 2. (ANOVA Model in R)

In this notebook we would be learning how to check that whether there is intercacion between two dependent variables or not. After that we would consider or add that interaction variable into our regression model and will monitor the changes in the parametrs.

Using the admission dataset. Reply the following questions. Using R. 1) Test if there is any relation (linear or exponential) between the following pair of variables: a) SSC Marks Obtained and NU_BS_Test Marks b) SSC Marks Obtained and NU_BS_Test Marks c) SSC Marks Obtained and HSSC Marks Obtained 2) Plot the residual plots for the parts in Ques…

A real estate company that has a dataset containing the prices of properties in the Delhi region. It wishes to use the data to optimise the sale prices of the properties based on important factors such as area, bedrooms, parking, etc

Compute a moving residual sum of squares (RSS) incrementally.

Compute the residual sum of squares (RSS) incrementally.