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Time series analysis based on Berlin-Templehof area’s historical data of daily temperature, taking into account trend and seasonality issues. Produced a 3-day forecast with only 4% error

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arima-model box-jenkins-methodology fft-analysis pandas seasonality signal-processing statsmodels trends

temperature_forecast's Introduction

Hello there, this is Rakibur! 👋

A Data Science Teacher with keen interest in Machine Learning and Artificial Intelligence

  • :atom:   I am data science coach @ Spiced Academy
  • 🌱   At present, I'm learning new tools for Time Series Analysis and Natural Language Processing (NLP)
  • 📄   My research articles can be found @ iNSPIRE
  • 💙   I love metal music 🤘 travelling ✈️ and chess ♟️
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Feel free to reach out! 😃

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