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Built a regression model to predict university admission using linear, polynomial, and regularized regression techniques (lasso, ridge, and elastic net) and achieved 98% accuracy.

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data-analysis data-mining data-science data-visualization elastic-net-regression lasso-regression-model linear-regression polynomial-regression python regression regression-models regularization ridge-regression

regression-project's Introduction

Hi 👋, I'm Shaik Ayub Ali

A passionate Data Scientist from India

Coding

  • 🔭 I’m currently working on Data Science Projects
  • 🌱 I am a Microsoft and Nasscom certified data scientist with good knowledge of Full Stack Data Science and AI
  • 👀 I’m interested in in leveraging data science techniques to extract meaningful insights from large datasets, with a focus on predictive modeling and machine learning applications.
  • 👨‍💻 All of my projects are available at My Repositories
  • 📫 How to reach me [email protected]

    • Connect with me:

    www.linkedin.com/in/shaik-ayub-ali-02276b266 shaik ayub ali

    Languages and Tools:

    mysql opencv pandas python pytorch scikit_learn tensorflow

    regression-project's People

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