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code-with-ayyan/README.md

Hi there, I'm Ayyan 👋

🚀 Aspiring AI/ML Engineer | Python Developer 🇵🇰 Based in Pakistan

I am passionate about Artificial Intelligence, Machine Learning, and Data Science. I enjoy learning machine learning algorithms from scratch, understanding the mathematics behind them, and building complete end-to-end ML projects.

My goal is to become an AI/ML Engineer capable of building intelligent systems that solve real-world problems and eventually launch my own AI startup.

🌱 About Me

  • 🐍 Passionate about Python programming and problem solving
  • 🤖 Learning Machine Learning from theory, mathematics, and from-scratch implementations
  • 📊 Building complete Machine Learning projects from data preprocessing to model evaluation
  • 📈 Exploring statistics, feature engineering, feature selection, and model optimization
  • ⚡ Familiar with FastAPI for deploying Machine Learning models as REST APIs
  • 🐧 Linux (Ubuntu) user
  • 🎯 Goal: Become a professional AI/ML Engineer

🛠️ Tech Stack

Programming

  • Python

Data Science

  • NumPy
  • Pandas
  • Matplotlib
  • Seaborn

Machine Learning

  • Scikit-learn
  • Statistics
  • Feature Engineering
  • Feature Selection
  • Data Preprocessing
  • Model Evaluation

AI Deployment

  • FastAPI (Basics)
  • REST APIs

Tools

  • Linux (Ubuntu)
  • Git & GitHub
  • Jupyter Notebook
  • VS Code

📚 Currently Learning

  • Machine Learning Algorithms
  • Mathematics for Machine Learning
  • Linear Algebra
  • Probability & Statistics
  • Deep Learning
  • Computer Vision
  • Natural Language Processing (NLP)
  • Generative AI
  • Model Deployment

🤝 Open to Collaborate

  • Machine Learning Projects
  • AI Research & Applications
  • Open Source AI Projects
  • Python Projects
  • Data Science Projects

🎯 Goals

  • Master Machine Learning algorithms from scratch
  • Build real-world AI applications
  • Learn Deep Learning
  • Learn Computer Vision & NLP
  • Build production-ready AI systems
  • Create a strong AI/ML portfolio
  • Contribute to Open Source
  • Launch an AI startup

📫 Contact

"Learning the mathematics behind AI. Building intelligent systems for the future."

Pinned Loading

  1. Machine-Learning-from-scratch Machine-Learning-from-scratch Public

    Machine Learning algorithms implemented from scratch using Python & NumPy with mathematical intuition, EDA, preprocessing, and real-world projects.

    Jupyter Notebook 3

  2. Ford-car-price-prediction Ford-car-price-prediction Public

    Ford Car Price Prediction using different regression models with complete EDA, preprocessing, feature engineering, feature selection, and model evaluation using Python.

    Jupyter Notebook 2

  3. Insurance_charges_Prediction Insurance_charges_Prediction Public

    End-to-END Machine Learning project for predicting insurance charges using Linear Regression with EDA, feature engineering, feature selection, and model evaluation.

    Jupyter Notebook 2

  4. IPL-project IPL-project Public

    Comprehensive Exploratory Data Analysis (EDA) of IPL 2022 using Python. Detailed visualization of match trends, team dominance, and player performances using NumPy, Pandas, Matplotlib, and Seaborn.

    Jupyter Notebook 2

  5. Pakistan-Super-League-9-Analysis Pakistan-Super-League-9-Analysis Public

    Comprehensive Ball-by-Ball Analysis of PSL Season 9 (2024) using Python and Pandas. Includes custom insights on player impact, team performance, and an automated match scorecard generator.

    Jupyter Notebook 2

  6. -Jarvis-Virtual-Assistant -Jarvis-Virtual-Assistant Public

    A Python-based Virtual Assistant named Jarvis. Features voice recognition, automated web browsing, music playback, and AI-powered responses using Cohere API.

    Python 2