ml-model-development

This Facial Recognition App is a cutting-edge solution, combining the power of Python's OpenCV and face_recognition libraries with the versatility of Flask and React JS.

A collection of machine learning projects covering predictive modeling, classification, clustering, and NLP. Each project includes detailed analysis, feature engineering, and model evaluation. Some projects also have interactive Streamlit apps for real-time insights! 🚀

This is an example Convolutional Neural Network ML model as a solution for various Classification use cases!

For seamlessly training, evaluating, and deploying machine learning models.

Airline Profitability Prediction using Machine Learning to optimize revenue, cost efficiency, and operational performance

Image Recognition Implementation from scratch using TensorFlowJS

An end-to-end ML project, which aims at developing a regression model for the problem of predicting the sales of a given product, based on its properties like item category, weight, visibility, MRP, type of outlet the product is sold, size of the outlet etc.

E-commerce Customer Segmentation and LTV Prediction Platform

This project performs a comprehensive analysis of exoplanet datasets using Python. It involves preprocessing NASA’s Kepler/K2 mission data, handling missing values, encoding categorical variables, and performing feature selection. EDA reveals correlations between planetary and stellar parameters Random Forest model to enhance predictive accuracy

Sandbox type repository that contains production-ready quantitative prediction models, and model training jupyter notebooks.

This repo is connected with heroku and host API for Roman-Urdu profanity filter used in the project ZAROORAT

Machine Learning Model deployment on web using flask

FastAPI Microservice Template is a production-ready Python backend template for building REST APIs and serving machine learning models, featuring CRUD operations, Pydantic validation, filtering/sorting, and scalable microservice patterns.

Data Science project for a startup intending to compete with SpaceX

The "KharchaKitna" is a Monthly Expenses Predictor for IIITDMJ students, based on Linear Regression Model, trained on dataset of around 200 datapoints.