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Predicted future passenger demand using time series analysis and ARIMA model on Air Passengers dataset with 96% accuracy, after performing stationarity check and Augmented Dickey-Fuller test.

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artificial-intelligence data-analysis data-science data-visualization machine-learning python time-series time-series-analysis

time-series-and-forecasting's Introduction

Hi ๐Ÿ‘‹, I'm Shaik Ayub Ali

A passionate Data Scientist from India

Coding

  • ๐Ÿ”ญ Iโ€™m currently working on Data Science Projects
  • ๐ŸŒฑ I am a Microsoft and Nasscom certified data scientist with good knowledge of Full Stack Data Science and AI
  • ๐Ÿ‘€ Iโ€™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.
  • ๐Ÿ‘จโ€๐Ÿ’ป All of my projects are available at My Repositories
  • ๐Ÿ“ซ 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

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