pand

Python Quant Stack

Find-s problem from machine learning

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

WhatsApp Chat Analysis

Kaggle Titanic dataset prediction with accuracy of around 75%

Predictive modeling of early-career salaries using regression techniques on U.S. college institutional data, evaluating the impact of tuition, enrollment, diversity, and STEM focus on starting salary outcomes.

Analysing 14,000+ mutual fund schemes in India using Python and Power BI to uncover investment trends, AMC dominance, and NAV patterns.

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.

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

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

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

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

Applied Python, pandas, and scikit-learn to build a time-series sales forecasting model. Demonstrated skills in data preprocessing, feature engineering, linear regression, and data visualization.

A machine learning-based retail sales forecasting system using Python, Scikit-learn, and Streamlit to analyze historical data and predict future sales.

Project made for demonstation defferent data cleaning methods.

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