solving problems with data analysis, hypotheses and the most used statistical tests in ecology

Analysis of real estate sales data. Tasks include understanding dataset structure, variable conversion, descriptive analysis, pairwise comparisons, linear relationship analysis, multiple regression modeling, feature selection using stepwise methods, final model summary, assumptions checking, and LASSO variable selection. Results are documented.

Customer attrition predictor

This question-answer paper discusses data science topics such as Probability, Multiple Regression Analysis with Python, Advanced Data Visualization and Analysis using Matplotlib and Seaborn and Matrices

This script, titled "Multiple Regression and Causal Analysis," conducts a series of univariate, bivariate, and multivariate analyses to explore the relationship between government expenditure, gross domestic product (GDP), drug seizures, and the United Nations Drug Control Treaty.

In this repository, delve into the realm of regression modeling featuring an array of algorithms applied to diverse datasets. Explore the strengths and nuances of different regression techniques, providing a comprehensive overview for anyone interested in predictive modeling.

This is the final written report for Statistical Methods course

Built house price prediction model using linear regression and k nearest neighbors and used machine learning techniques like ridge, lasso, and gradient descent for optimization in Python

Recursive Leasting Squares (RLS) with Neural Network for fast learning

Description: Mult. Reg. Analysis performed on data from car sharing platform 'Turo' using R and a public data set representing operations in the state of Arizon of car features and additional metrics such as gas mileage and price.

A simple intuitive method for multiple regression

This package can be used for dominance analysis or Shapley Value Regression for finding relative importance of predictors on given dataset. This library can be used for key driver analysis or marginal resource allocation models.

📚📝 Types of Ml algos

This repository houses the files related to my homework assignments for the Multivariate Analysis class. Throughout the coursework, I utilized R Studio for all of my work. In addition to the homework, I also completed two projects as part of this course. Feel free to explore the files and projects included here to gain insights into the MVA class.

Regression model provides detailed insight that can be applied to further improve products and services.

A collection of some of my R Projects

아주대학교 2021-2 비즈니스 애널리틱스 프로젝트

illini esports discord community growth and engagement analysis

This is a project done in Stata, for an econometrics class. The goal of the project was to show how job retention was different in rural vs urban areas during the early stages of the Covid-19 pandemic.

Data analysis with Python to building and evaluating data models.