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machine-learning-projects

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🎬 Build a movie recommendation system using Python with content-based, collaborative, and hybrid filtering methods for personalized suggestions.

  • Updated Nov 30, 2025
  • Python

Welcome to **Sign Language Recognition for Deaf and Dumb** — an innovative real-time application built to bridge communication gaps for the deaf and hard-of-hearing community.

  • Updated Nov 30, 2025
  • Jupyter Notebook

This Python project provides a simple framework for data analysis, allowing users to process and visualize datasets efficiently. It includes tools for data cleaning, exploration, and plotting, making it accessible for both beginners and experienced developers.

  • Updated Nov 30, 2025
  • Python

Deep learning final year projects offer students the opportunity to explore the latest advancements in artificial intelligence and apply them to real-world problems. One project idea is developing a Deep Learning-Based Image Classification System, which uses convolutional neural networks (CNNs) to classify images into different categories.

  • Updated Nov 30, 2025

End-to-end portfolio covering core Machine Learning, Data Engineering (MLOps), and Modern AI (LLM/Agent) development. Demonstrates proficiency in building and deploying robust systems from data acquisition to final deployment.

  • Updated Nov 27, 2025
  • Jupyter Notebook

Customer segmentation analysis using K-Means, DBSCAN, and Hierarchical clustering on mall customer data. Identifies 6 distinct customer segments based on income and spending behavior for targeted marketing strategies

  • Updated Nov 25, 2025
  • Jupyter Notebook
Cre4T3Tiv3

A collection of EDA projects designed to strengthen data analysis skills. From cleaning and wrangling to advanced visualizations and exploratory insights, each project highlights practical techniques used to understand and interpret real-world datasets.

  • Updated Nov 24, 2025
  • Jupyter Notebook

This project provides an end-to-end pipeline for building a Credit Risk Prediction Model using LendingClub loan data from 2007–2014. The workflow includes data cleaning, feature engineering, model training, evaluation, explainability, PSI monitoring, and a FastAPI deployment template.

  • Updated Nov 22, 2025
  • Python

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