Regression model building and forecasting in R

End-to-end Predictive Analytics ML Project

Autoregressor: simple and robust time series model selection

This repository contains machine learning projects. The code for each project is provided, and the explanations can be found in the ReadMe.md file of each project !

End-to-end Predictive Analytics ML Project

This GitHub repository hosts code for analyzing time series air pollution data in the United States. Utilizing a dataset from the U.S. EPA, the code conducts preprocessing, exploratory data analysis, feature selection, and model evaluation to uncover insights into air pollutant trends and correlations across various locations.

Using linear models to assess the most important aspects of winning baseball

This repository contains the Plant Ecosystem Analysis project, utilizing R to investigate the relationship between native plant species richness and ecological factors within diverse geographical gradients.

Analyzed customer churn using transaction data. Built ML model to predict lapses. Dataset includes customer status, collection/redemption info, and program tenure. Delivered business presentation outlining modeling approach, findings, and churn reduction strategies.

Data Science 2023-24

Data Science Assignment file

Predictive models identifying the major factors contributing to employee attrition and the state of attrition .

Solution in the form of a tutorial article wherein the key decisions made in conducting a CFA are validated through recent literature and presented within a dynamic document framework.

Detailed implementation of various time series analysis models and concepts on real datasets.