mlmodels

An analysis of the systemic impact, on the Web, of AI systems, and in particular ones based on Machine Learning models, and the role that Web standardization may play in managing that impact

Analyze WhatsApp chats with ML & Generative AI to reveal mood trends, apology/gratitude frequency, personas, and conversation insights. Built with Python, Streamlit, Pandas, and LLMs. Visualize your chat history like never before!

Loan Approval Predection model

This repository contains all the AI projects including Machine Learning, Deep Learning and Neural Network models

simple C++ neural network service

IT Bootcamp Final Exam Project: Delve into the world of data science with this exam. Explore consumer dispute data, apply machine learning models, and analyze sentiment to solve real-world financial service challenges.

A stock price prediction project that uses ML pipeline development in Python. The model trains on different stocks' historical closing prices and evaluates predictions with MAE and MSE. Includes visualization of actual vs. predicted prices.

Fin-AI-lytics is an AI financial advisor for stocks and portfolio management, built with Python-Streamlit, Firestore, ML models, and APIs like YFinance and Alphavantage. It provides a user-friendly walkthrough for beginners, real-time stock analysis, portfolio optimization, and interactive financial tools with data visualizations.

An AI driven platform which can analyze and predict crop diseases and provide future medication recommendation for the disease

A repository containing Jupyter Notebooks for neural network models, optimization algorithms, regularization techniques, and classification tasks with real-world datasets.

An AI‑powered weather forecasting system that uses machine learning models to predict temperature, humidity, and climate patterns based on historical weather data.

AIJURIST is an AI-powered legal predictor that uses advanced machine learning algorithms to predict the chances of winning a legal case based on provided case descriptions and evidence.

Car Predictive Maintenance uses machine learning to analyze vehicle data and predict potential failures, enabling timely repairs, reducing breakdowns, and extending vehicle lifespan.

Notebooks of Basics of ML models

Learn ML models in an interactive way, by seeing which ML models suits what kind of data and approximate speed of training.

This study develops a CNN-LSTM model for Human Activity Recognition using accelerometer and gyroscope data. Achieving over 95% accuracy, it combines LSTM's temporal capabilities with CNN's spatial features.

Student performance prediction models

An automated, collaborative ethical bias auditing platform for ML models. Demo:https://youtu.be/8mE_vLP9TYc

An in-depth exploration of logistic regression models, including data cleaning, model building, and performance evaluation on various datasets.

Price My Car is a Flask-based web application that predicts the price of used cars using a machine learning model. It takes inputs like company, model, year, fuel type, and kilometers driven, and returns an estimated market price, helping users make better buying and selling decisions quickly and accurately.