pnadas

A machine learning project to predict telecom customer churn using classification models. It includes data preprocessing, visualization, model evaluation, hyperparameter tuning (GridSearchCV/RandomizedSearchCV), and final model deployment using Streamlit. Dataset: Telco Customer Churn.

This AI-based accident detection system analyzes video footage to identify accidents in real-time. Using OpenCV to capture frames, it processes them with a deep learning model based on VGG16, which classifies scenes as accident or non-accident. The system is trained on labeled data to ensure accuracy, and it integrates Twilio for sending instant al

RFM-based customer segmentation and CLV analytics platform using Python, SQL, MySQL, and Power BI for actionable customer intelligence.

introduction into DL

This project investigates the relationship between **air pollution**, **temperature change**, and **mortality rates** across countries with high and low pollution levels. The study compares high pollution countries with low pollution countries.

🚀 Personal Loan Default Prediction App helps banks and financial institutions assess the risk of loan default using machine learning. 🔍 Users can input applicant details, and the app provides real-time predictions with explainable insights.

Pandas is a core Python library used primarily for data manipulation, analysis, and cleaning.