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EbadShabbir/README.md

Hi 👋, I'm Ebad Shabbir

I am active research paper writer in Machine Learning

ebadshabbir

ebadshabbir

ebad_shabbir21

  • 🔭 I’m currently working on Efficient/Low-Resource Methods for NLP

  • 🌱 I’m currently learning Machine learning and Data Science

  • 👯 I’m looking to collaborate on Machine learning and Data extraction and manipulation

  • 🤝 I’m looking for help with Machine Learning Model making

  • 👨‍💻 All of my projects are available at https://www.kaggle.com/ebadshabbir/

  • 💬 Ask me about Machine Learning, Python and its libraries and Data explotation

  • 📫 How to reach me [email protected]

  • 📄 Know about my experiences https://www.linkedin.com/in/ebad-shabbir-b9b34a282/

  • ⚡ Fun fact I am the lightweight king

Connect with me:

ebad_shabbir21 ebad shabbir ebad shabbir ebad.shabbir ebad shabbir rage7801

Languages and Tools:

arduino linux pandas python scikit_learn

ebadshabbir

 ebadshabbir

ebadshabbir

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  1. Bluff-Detection-Model-polynomial_regression- Bluff-Detection-Model-polynomial_regression- Public

    This project predicts employee salaries based on position levels using Linear and Polynomial Regression models. It trains models with degrees 2, 3, and 4 on a dataset of job titles, position level…

    Jupyter Notebook

  2. Company_profit-Onehotencoding- Company_profit-Onehotencoding- Public

    This project uses multiple linear regression to predict startup profits based on spending and location data from the **50 Startups** dataset. It includes data preprocessing, model training, and per…

    Jupyter Notebook

  3. Decision_Tree_Algorithm Decision_Tree_Algorithm Public

    Decision Tree Classifier for Social Network Ads A Python implementation of a Decision Tree Classifier to predict user purchasing behavior based on age and estimated salary. Includes feature scaling…

    Jupyter Notebook

  4. K-Nearest-Neighbour-social-media-ads- K-Nearest-Neighbour-social-media-ads- Public

    Implementation of the K-Nearest Neighbors (K-NN) algorithm for classifying users based on age and estimated salary. Includes data preprocessing, model training, evaluation, and visualization of dec…

    Jupyter Notebook

  5. Naive_Bayes_classification-gaussain- Naive_Bayes_classification-gaussain- Public

    A Python project that applies Naive Bayes classification to predict user purchases based on age and salary using the Social Network Ads dataset. The project includes data preprocessing, model train…

    Jupyter Notebook

  6. Random_Forest Random_Forest Public

    A Python implementation of the Random Forest Classifier to predict purchase behavior based on user demographics. This project includes data preprocessing, training, evaluation, and decision boundar…

    Jupyter Notebook