M3GHAN
Enthusiastic MTech candidate at REVA University, Bengaluru, focused on Artificial Intelligence. Experienced in developing machine learning models, data analysis
Pinned Repositories
Anomaly-Detection-for-Water-Consumption
Customer-Churn-Prediction-RFM-Logistic-Regression
This project implements a customer churn prediction model using Recency, Frequency, and Monetary (RFM) analysis. It classifies customers into "Churned" or "Retained" categories using a logistic regression model based on customer behavior. The model helps businesses identify at-risk customers and design targeted retention strategies.
Customer-Value-Segmentation-KMeans-RFM
This project focuses on customer segmentation using RFM analysis and K-Means clustering into high value, low value, and potentially loyal groups. Key revenue metrics such as LastMonthRevenue and LifeTimeRevenue are calculated, with visualizations to provide insights into customer behavior for targeted marketing and improved retention str
Demo
Linear-Regression
Logistic-Regression
RFM-Analysis
This notebook focuses on RFM (Recency, Frequency, Monetary) segmentation, a popular method used in customer analysis to group customers based on their purchasing behavior. The key goal of RFM segmentation is to identify different customer segments by analyzing their transaction history and assigning them to categories based on their recency of purc
stock-price-prediction-ARIMA-SARIMA
This repository contains Python code for forecasting stock prices using various time series models. The project utilizes historical stock price data to demonstrate different predictive modeling techniques including Moving Average, ARIMA, and SARIMA.
testing-Repo
YOLOv8-Object-Detection
This project implements object detection using the YOLOv8 model to detect persons and personal protective equipment (PPE), including hard hats, gloves, masks, glasses, boots, vests, PPE-suits, ear protectors, and safety harnesses. The project demonstrates how to convert PascalVOC annotations to YOLO format, train a custom YOLOv8 model.
M3GHAN's Repositories
M3GHAN/Customer-Churn-Prediction-RFM-Logistic-Regression
This project implements a customer churn prediction model using Recency, Frequency, and Monetary (RFM) analysis. It classifies customers into "Churned" or "Retained" categories using a logistic regression model based on customer behavior. The model helps businesses identify at-risk customers and design targeted retention strategies.
M3GHAN/Anomaly-Detection-for-Water-Consumption
M3GHAN/Customer-Value-Segmentation-KMeans-RFM
This project focuses on customer segmentation using RFM analysis and K-Means clustering into high value, low value, and potentially loyal groups. Key revenue metrics such as LastMonthRevenue and LifeTimeRevenue are calculated, with visualizations to provide insights into customer behavior for targeted marketing and improved retention str
M3GHAN/Demo
M3GHAN/Linear-Regression
M3GHAN/Logistic-Regression
M3GHAN/RFM-Analysis
This notebook focuses on RFM (Recency, Frequency, Monetary) segmentation, a popular method used in customer analysis to group customers based on their purchasing behavior. The key goal of RFM segmentation is to identify different customer segments by analyzing their transaction history and assigning them to categories based on their recency of purc
M3GHAN/stock-price-prediction-ARIMA-SARIMA
This repository contains Python code for forecasting stock prices using various time series models. The project utilizes historical stock price data to demonstrate different predictive modeling techniques including Moving Average, ARIMA, and SARIMA.
M3GHAN/testing-Repo
M3GHAN/YOLOv8-Object-Detection
This project implements object detection using the YOLOv8 model to detect persons and personal protective equipment (PPE), including hard hats, gloves, masks, glasses, boots, vests, PPE-suits, ear protectors, and safety harnesses. The project demonstrates how to convert PascalVOC annotations to YOLO format, train a custom YOLOv8 model.