Regression model building and forecasting in R

End-to-end Predictive Analytics ML Project

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 !

Autoregressor: simple and robust time series model selection

Data Enthusiast | Predictive Modeler | Turning Insights into Strategies

Data Science Project (Logistic Regression M7)

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

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.

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.

End-to-end Predictive Analytics ML Project

A Spark Streaming and Kafka-based project for processing health data in real-time. Includes a machine learning pipeline for predictions, Dockerized infrastructure, and scripts for data ingestion, model training, and streaming pipelines.

Bank Customer Churn Prediction with MLflow and MLOps

Credit Card fraud detection model using Machine Learning

Data Science 2023-24

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.

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.

This project uses patients' surgery data to derive/design the "most effective model" that will predict the survival of patients (in days) after undergoing a particular type of liver operation. Code was built in R.

📊🚀 Explore the Data Science Universe! Unlock insights and master data skills with hands-on assignments spanning machine learning, visualization, and more. Your journey to becoming a data expert starts here! 🎯💡 DataScienceJourney

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