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datascikhan/README.md

Shair Khan GitHub Banner

@datascikhan


πŸš€ About Me

I am a passionate Data Science student with a strong interest in Machine Learning, Deep Learning, Big Data, and AI-powered solutions. I love turning data into meaningful insights and building intelligent systems.

  • πŸŽ“ Currently learning Advanced Data Science & Big Data Analytics
  • πŸ’» Programming in Python, SQL, and Spark
  • 🌱 Exploring Computer Vision, NLP, and AI applications
  • πŸ“Š Skilled in Tableau, PowerBI, and Data Visualization
  • ⚑ Interested in Full-Stack Data Science projects using Django & Flask

snake animation

πŸ›  Skills with Progress Bars

Python
β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‘β–‘β–‘β–‘β–‘β–‘ 70%
Python

Data Analysis (Pandas, NumPy)
β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‘β–‘β–‘β–‘ 75%
Data Analysis

Machine Learning (Scikit-Learn, XGBoost)
β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‘β–‘β–‘β–‘β–‘ 70%
Machine Learning

Deep Learning (TensorFlow, Keras, PyTorch)
β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‘β–‘β–‘β–‘β–‘β–‘ 65%
Deep Learning

Big Data & PySpark
β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‘β–‘β–‘β–‘β–‘β–‘β–‘ 60%
Big Data

Web Development (Django, Flask)
β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‘β–‘β–‘β–‘β–‘β–‘β–‘β–‘ 55%
Web Development

Data Visualization (Matplotlib, Seaborn, Tableau)
β–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–ˆβ–‘β–‘β–‘β–‘β–‘ 70%
Data Visualization


πŸ“‚ My Projects

πŸš€ SpaceX Launch Analysis & Prediction Platform

SpaceX Description:
A full-featured platform analyzing historical SpaceX launches and predicting success probability with ML models.
Features:

  • Interactive visualizations
  • Predictive ML models (Logistic Regression, Random Forest, XGBoost)
  • Dashboard with launch metrics & rocket trends
    Tech Stack: Python, Pandas, NumPy, Scikit-Learn, Matplotlib, Seaborn, Flask, Plotly
    GitHub: View Project
    Last Updated: Last Commit

πŸ’‰ Diabetes Risk Prediction System

Diabetes Description:
Predicts diabetes risk based on clinical and demographic data.
Features:

  • Data preprocessing & cleaning
  • Interactive data visualization
  • ML models: Logistic Regression, Decision Trees, Random Forest
  • Web app interface for real-time predictions
    Tech Stack: Python, Pandas, NumPy, Scikit-Learn, Flask/Django, Matplotlib, Seaborn
    GitHub: View Project
    Last Updated: Last Commit

πŸ“Š GitHub Stats & Tech Stack

GitHub Stats Top Languages


🀝 Connect with Me

LinkedIn Twitter Email


Made with ❀️ by Shair Khan

Popular repositories Loading

  1. SpaceX-Launch-Analysis-Prediction-Platform-Project SpaceX-Launch-Analysis-Prediction-Platform-Project Public

    Jupyter Notebook

  2. diabetes-risk-prediction diabetes-risk-prediction Public

    A machine learning project for predicting diabetes using classification algorithms such as Logistic Regression, Decision Tree, Random Forest, KNN, SVM, and Gradient Boosting. Includes performance c…

    Jupyter Notebook

  3. Python-All-Basic-Roadmap- Python-All-Basic-Roadmap- Public

    β€œThis repository contains all the basic Python programs and concepts explained step by step. It is a complete roadmap for beginners to learn Python from scratch.”

    Jupyter Notebook

  4. python-all-built-in-functions python-all-built-in-functions Public

    A collection of Python built-in functions with examples and explanations for beginners.

    Jupyter Notebook

  5. datascikhan datascikhan Public

    My Name Shair Khan and I'm student of Data Science and I'm Learning Python | Machine Learning | Deep Learning | Data Analysis | SQL | Pandas | Numpy | Sklearn | Big Data Technologies | Data Enginee…