Python Quant Stack

Find-s problem from machine learning

Working and Implementation of various Machine learning classification algorithms using realtime dataset.

WhatsApp Chat Analysis

Predicting Average Starting Salary Based on College Characteristics

Simple way to deploy a Machine Learning model using Python's Flask library.

App that allows Udacity mentors to view student feedback from project reviews

Kaggle Titanic dataset prediction with accuracy of around 75%

A machine learning driven system for predicting employee attrition, featuring statistical analysis, Flask API integration and Dockerized deployment.

Analyze Zomato restaurant data all the world and find the insights by using Python libaries and also visualize the dataset by using Power-bi

An interactive web app for analyzing and comparing historical stock prices with dynamic visualizations. Fetches real-time stock data, provides trend analysis, and displays interactive charts like line graphs, box plots, and histograms. Features auto-refresh for live tracking and multi-stock comparisons.

An AI-based system for classifying Diabetic Retinopathy severity using GraphCNN and DenseNet121 on retinal images.

Its a web application that integrates AI-powered parking spot predictions, real-time notifications, and role-based dashboards for Drivers, Attendants, and Providers. This system is designed to streamline parking operations, enhance user experience, and leverage machine learning for future availability predictions.

Project made for demonstation defferent data cleaning methods.

Classification of person as underweight, Normal weight, overweight or obese using different ML Models.

A csv reconcilation cli tool

Time series analysis for phrmacutical sales analysis and forecast of sales across several cities in 6 weeks using three years of consumer and sales data in multiple stores