Statistical study and analysis of Multiple linear regression model using Scalation tool

an R project of manipulating and fittingdata into regression with 95.5% R-Square, involving Automated Selection, detecting outliers, influential observations and multicollinearity

Determined the best regression model which represents the data

Machine Learning Project

💨 A desktop application to convert videos to high-quality GIF built with Electron and React

'21 한국통신학회 동계종합학술발표회 투고 논문, "XGBoost기반 당뇨병 예측 알고리즘 연구:2016~2018을 이용하여" 연구 과정 전반의 Open Archive입니다.

This is a project demonstrating Logistic Regression method using Python. An education company named X Education sells online courses to industry professionals. On any given day, many professionals who are interested in the courses land on their website and browse for courses.

Prevendo Customer Churn em Operadoras de Telecom

Supervised Classfication models - Logistic Regression & Decision Tree, AUC-ROC Curve

A linear regression model to predict demand for a bike based on the different conditions like weather conditions, whether a day is a holiday, weekend, or workday and other conditions.

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…

This is an contrast of linear regression model, used to examine the association between the independent variable(category or contineous) with dependent variable(binary), which is an discrete outcome.

Predictive model that tells important factors(or features) affecting the demand for shared bikes

A boat-sharing system is a service in which boats are made available for city tour. Required to model the demand for open boats with the available independent variables. It will be used by the management to understand how exactly the demands vary with different features. They can accordingly manipulate the business strategy to meet the demand le…

Final Capstone project at Amsterdam University College. Analyzed house prices using hedonic regression and Neural Network.

This is a group project for MTH416A: Regression Analysis at IIT Kanpur

This is a Linear Regression Project, we have created multiple models using different feature selection techniques to predict the future demands for a bike company.

Statistical concepts, from statistical inference to Bayes probability and different distribution types