GitHub topics: pandas-numpy

Repositories

arindham-codes-cmd/Fleet-Risk-Driver-Behavior-and-Route-Anomaly-Detection

We analyse GPS fleet data to evaluate driver behavior, detect risky patterns, and identify route anomalies using real world telematics from California. The goal is to have an end-to-end analytics pipeline that will transform raw trip data into actionable insights for fleet safety, operational efficiency, and proactive risk management.

Language: Jupyter Notebook - Size: 28.3 MB - Last synced at: 4 days ago - Pushed at: 7 days ago - Stars: 0 - Forks: 0

siri142523/Loan---Predictor

A web-based Loan Approval Prediction app built with Flask and Python. Users enter personal and financial details, and the app computes a Risk Score, predicts Loan Approval or Rejection, and displays results in a dashboard with progress bars, history, charts, and an interactive results page for better insights.

Language: Jupyter Notebook - Size: 5.02 MB - Last synced at: 8 days ago - Pushed at: 10 days ago - Stars: 1 - Forks: 1

sabin74/retail_sales_forecast

This project focuses on predicting retail sales using historical sales data and time-series regression techniques. It leverages Python, Scikit-learn, and XGBoost to build predictive models capable of forecasting sales trends. The goal is to provide actionable insights to retailers for inventory and sales strategy planning.

Language: Jupyter Notebook - Size: 1.82 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

Poojachauhan25/SMS-Spam-Detection

The SMS Spam Detection System is a Django-based application that classifies messages as spam or ham using machine learning and keyword-based filtering. It detects spam by analyzing suspicious words, patterns, and NLP techniques to improve accuracy.

Language: Python - Size: 25.4 KB - Last synced at: 8 months ago - Pushed at: 8 months ago - Stars: 0 - Forks: 0

aryansingla45/Cab-Fare-Prediction

This repository contains a Cab Fare Prediction Web App that uses machine learning to predict fares based on distance, time, and location, with Google Maps API integration for route and fare calculations. It features a user-friendly interface and secure authentication, powered by a Kaggle dataset.

Language: Jupyter Notebook - Size: 6.32 MB - Last synced at: 9 months ago - Pushed at: 11 months ago - Stars: 1 - Forks: 0