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dataanalysis

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About The Spotify Data Analysis Project showcases data's role in diverse fields, using Python and libraries like Pandas,Numpy,Seaborn and Matplotlib, within the Jupyter Notebook environment. It explores music-related datasets, highlighting data's influence on decisions, research, and prediction, while honing technical skills and industry insights.

  • Updated May 18, 2025
  • Jupyter Notebook

This project leverages time-series analysis and machine learning techniques to forecast CO₂ emissions based on historical data. By employing models like ARIMA, Prophet, and regression approaches, it aims to provide accurate predictions and uncover key trends to inform sustainable decision-making. Developed entirely in Kaggle Notebooks.

  • Updated Jan 23, 2025
  • Jupyter Notebook

📌 Welcome to this notebook. The goal of this notebook is to demonstrate how to handle credit card fraud datasets for ML fraud detection. Credit card fraud datasets have several specifications that make them unique and require specialized handling.

  • Updated Sep 5, 2024
  • Jupyter Notebook

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