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    • Leveraging the power of Python tools to streamline ETL processes and Data Pipelines. Taking use of Numpy, Pandas and Scikit-learn to perform operations on data. Also using K Fold cross validation to measure accuracy and using GridSearchCV to decide the best model.
      Jupyter Notebook
      1050Updated Oct 3, 2024Oct 3, 2024
    • 0120Updated Sep 30, 2024Sep 30, 2024
    • Mastering MySQL and Python ORM: Bridging Databases with Code
      0000Updated Aug 22, 2024Aug 22, 2024
    • MIT License
      0000Updated Aug 11, 2024Aug 11, 2024
    • .github

      Public
      0000Updated Jul 30, 2024Jul 30, 2024
    • Car engine type prediction using Artificial Neural Networks and Used-cars-catalog dataset
      Python
      1000Updated Feb 6, 2024Feb 6, 2024
    • Jupyter Notebook
      1000Updated Feb 1, 2024Feb 1, 2024
    • Data visualization using matplotlib and seaborn
      Jupyter Notebook
      0000Updated Jan 31, 2024Jan 31, 2024
    • DATA CLEANING AND ETL
      Jupyter Notebook
      0000Updated Jan 23, 2024Jan 23, 2024
    • Scripts for scrapping data from various diffferent websites
      Jupyter Notebook
      1000Updated Jan 21, 2024Jan 21, 2024