The "kidney-stones-Detector" is an advanced system delivering precise detection and classification of kidney conditions including stones, cysts, tumors, and normal states from medical imaging data. With an impressive accuracy of 98.87%, this machine learning-powered models offer reliable insights for medical professionals.

Learning Python For Data Engineering

Olympics Data Analysis Web Application using Streamlit. For development, I will be using Python and Pandas. For plotting, I will be using Seaborn and Plotly libraries.

This is a sophisticated app designed to analyze financial datasets and uncover market trends. Leveraging powerful tools like Python, Pandas, and Scikit-learn, this app offers deep insights into stock performance, helping investors and analysts make informed decisions. Explore data-driven strategies and stay ahead in the financial market.

A case study on Weather Analysis during World War 2 by Machine Learning.

This project is developed on python language, It scraps the data from a famous website BBC/Urdu and stores it in an CSV file. There are also other methods through them we read the csv file and manuplate its data

Fraud Check Analysis by Random Forest.

Prediction model for Insurance Cost dataset by Regression

Bangalore House Price Prediction by KNN

Prediction model for Delivery Time by Simple Linear Regression

Data Analysis of iPhone Purchase Records by KNN.

Diwali-Sales-Analysis-Project

Linea De Enfasis Ciencia de Datos y Machine Learning

Health Analysis Report based on money spent on health and its impact on life expectancy.

Predict salary of new employee by Polynomial Regression.

Data Analysis of Bank by Logistic Regression.

Company Data Analysis by Random Forest.

Travel Data Analysis by ARIMA.

Prediction model for Salary Hike by Simple Linear Regression