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ShaikAyubAli/README.md

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 shaikayyubali1@gmail.com

    • 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

    Popular repositories Loading

    1. Classification-Project Classification-Project Public

      Developed a loan prediction model for the banking and finance domain using various machine learning algorithms, such as logistic regression, KNN, SVM, DT, RF, AB, GB, and XGB. Applied skills such a…

      Jupyter Notebook

    2. ShaikAyubAli ShaikAyubAli Public

      Config files for my GitHub profile.

    3. Recommendation-Engine-Project Recommendation-Engine-Project Public

      Built a movie recommendation engine using TF-IDF vectorizer and cosine similarity on a movies dataset, and provided personalized suggestions based on user input.

      Jupyter Notebook

    4. Regression-Project Regression-Project Public

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

      Jupyter Notebook

    5. Clustering-Project Clustering-Project Public

      Implemented various clustering algorithms such as k-means, k-means++, hierarchical clustering, and DBSCAN to segment mall customers based on their spending behavior and demographics.

      Jupyter Notebook 1

    6. Association-Rules Association-Rules Public

      I used machine learning to apply association rules to a sample data of supermarket transactions. I used the Apriori algorithm to generate frequent itemsets and association rules, and evaluated them…

      Jupyter Notebook