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A curated collection of 10+ end-to-end AI/ML/DL projects showcasing real-world problem-solving, data analysis, and model deployment using Streamlit. Each project demonstrates the use of cutting-edge algorithms in healthcare, finance, NLP, and computer vision. Perfect for learning, inspiration.

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πŸš€ Top Machine Learning & Deep Learning Projects

Welcome to my collection of AI, Machine Learning, and Deep Learning projects, all developed and deployed with real-world datasets.
Each project demonstrates model development, evaluation, and deployment β€” applying ML/DL algorithms to solve practical problems.


πŸ“š Projects Overview

# Project Name GitHub Repo Description
1 Breast Cancer Prediction Model Code Predicts whether a tumor is benign or malignant using diagnostic features.
2 Churn Prediction Model Code Predicts customer churn for telecom/financial companies using ML.
3 Diabetes Prediction Model Code Predicts the likelihood of diabetes based on medical and lifestyle inputs.
4 Handwritten Model Code Recognizes handwritten digits using a CNN trained on the MNIST dataset.
5 StockMarket Prediction Model Code Predicts stock trends using time-series forecasting models.
6 Sentiment Analysis Model Code Analyzes and classifies text sentiment (Positive / Negative / Neutral).
7 Movie Recommendation Model Code Recommends movies using a content-based recommendation algorithm.
8 Loan Prediction Model Code Predicts whether a loan application will be approved or rejected.
9 HousePrice Prediction Model Code Estimates house prices using regression-based ML models.
10 Image Classification Model Code Classifies images into categories using a deep CNN model.

🧠 Technologies Used

  • Programming: Python
  • Machine Learning: Scikit-learn, XGBoost, LightGBM
  • Deep Learning: TensorFlow, Keras, PyTorch
  • Data Analysis: NumPy, Pandas, Matplotlib, Seaborn
  • Deployment: Streamlit, GitHub Pages, Hugging Face Spaces
  • Version Control: Git & GitHub

πŸ“‚ About This Repository

This repository showcases 10+ complete AI/ML/DL projects, developed to demonstrate:

  • Data preprocessing & feature engineering
  • Model training, optimization & evaluation
  • Deep learning architectures (CNNs, RNNs, LSTMs)
  • End-to-end deployment using Streamlit

Each project focuses on building practical and impactful AI solutions β€” from healthcare and finance to NLP and recommendation systems.


🌟 Author & Profiles

πŸ‘€ Mirza Yasir Abdullah Baig
πŸŽ“ AI & Machine Learning Engineer
πŸ“ Pakistan

πŸ”— Connect With Me:


⭐ If you find these projects helpful or inspiring, consider giving this repository a star!
Your support motivates me to keep building and sharing more AI, ML, and DL applications.

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A curated collection of 10+ end-to-end AI/ML/DL projects showcasing real-world problem-solving, data analysis, and model deployment using Streamlit. Each project demonstrates the use of cutting-edge algorithms in healthcare, finance, NLP, and computer vision. Perfect for learning, inspiration.

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