Regression model building and forecasting in R
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
Data Enthusiast | Predictive Modeler | Turning Insights into Strategies
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.
Autoregressor: simple and robust time series model selection
Data Science Project (Logistic Regression M7)
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.
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Time series analysis on the United States Housing Price Index data using ARIMA models
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.
Data Science 2023-24
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.
Using linear regression models to assess the most important aspects of winning baseball
Full ENM framework with improved tuning, model performance assessment and selection. Based on MaxEnt, but transferrable to any presence-only ML algorithm.
Bank Customer Churn Prediction with MLflow and MLOps
Credit Card fraud detection model using Machine Learning
End-to-end machine learning pipeline to predict daily sales for Rossmann stores using historical, promotional, and store metadata.
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