♂️♀️ Detect a person's gender from a voice file (90.7% +/- 1.3% accuracy).

Machine Learning modeling for Air Ticket Predicting

A model was built to predict the total insurance claim amount payable by the insurance company using machine learning techniques such as regression in python.

Machine learning logistics and serving platform

A simple to use, AI application development tool that doesn't require any programming skills. The tool runs on a browser screen. You just need to provide the images. No python is needed. No need to download any libraries.

This project leverages machine learning models like Random Forest and XGBoost to detect suspicious financial transactions that could be linked to money laundering. Using a dataset provided by IBM, we analyze real-world financial interactions between individuals, businesses, and banks.

AQI prediction using Machine Learning (Linear Regression, Random Forest, XGBoost) with XGBoost as the best model, featuring data preprocessing, training, evaluation, and tuning for accurate air pollution insights. 🚀

Provide exploratory data analysis of the water level dataset from the Three Gorges dam in China as well as develop a machine learning model to forecast upstream water levels.

Perform exploratory data analysis and develop machine learning models to a telecom customer churning dataset

This repository contains codebook for EDA and Model building to predict risk of early-stage diabetes based on number of different parameters. I have also attached the dataset along with it.