Realtime Sign Language Detection: Deep learning model for accurate, real-time recognition of sign language gestures using Python and TensorFlow.

Welcome to the Machine Learning Repository! This repository is a collection of notebooks showcasing various machine learning projects and implementations. It incluedes Decision tree algorithm, Random forest , Support vector machine etc.

This repository contains a basic fraud detection system utilising supervised learning techniques to identify potentially fraudulent credit card transactions. The project establishes a baseline model that addresses the challenges of credit card fraud in financial institutions.

A dark web analysis tool.

This Hand gesture recognition project using mediapipe is developed to recognize various hand gestures. The user can custom train any number of various hand gestures to train a model.

This repository contains the LifeExpectancy Prediction Project, a comprehensive data science project aimed at predicting life expectancy based on various health, economic, and social factors. The project includes steps for data preprocessing, exploratory data analysis (EDA), model selection, training, hyperparameter tuning, and model interpretation

AlmaBetter Capstone Project -Classification model to predict the sentiment of COVID-19 tweets. The tweets have been pulled from Twitter and manual tagging has been done then.

A Deep Learning application designed to detect plant 🌱diseases using images of plant leaves🌿, powered by TensorFlow technology.

Machine Learning model capable of accurately predicting the Rate of Interest (ROI) from bureau data

Web platform allows users to upload CSV files and train a machine learning model using the uploaded data

An advanced machine learning project deploying a model for Titanic passenger survival prediction, including deployment on ngrok for easy access.

This is a Data Science task related to kaggle challenge of Titanic Spaceship

This project utilizes a custom-trained YOLOv8 model for real-time license plate detection in videos, combined with EasyOCR for optical character recognition (OCR) to extract the license plate text. The program can handle video files as input, detect license plates within frames, and save the extracted text to an output file.

This project focuses on predicting the prices of clothes based on various features such as category, size, and color. Leveraging the power of machine learning, specifically supervised learning algorithms, we aim to build a robust predictive model capable of estimating prices with high accuracy.

Email Spam Detection using Machine Learning

This repository serves as a comprehensive resource for understanding and implementing various feature selection techniques, gaining familiarity with Jupyter Notebook, and mastering the process of model training and evaluation

Designed and deployed a scalable machine learning pipeline on AWS to detect fraudulent transactions, leveraging SageMaker for model deployment, real-time inference, and feedback-based retraining. Ensured secure data handling with S3 and tenant isolation for a multi-tenant SaaS LMS application.

Predicting heart failure using Decision Tree algorithm with a dataset sourced from Kaggle. Achieved 99% accuracy, demonstrating robust performance as a binary classifier.

This project detects if the card holder will default on the credit payment on the following month or not by implementation of various ML Classification Algorithms in a modular coding format