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Product typeBook
Published inNov 2022
PublisherPackt
ISBN-139781803246802
Edition1st Edition
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Author (1)
Manu Joseph
Manu Joseph
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Manu Joseph

Manu Joseph is a self-made data scientist with more than a decade of experience working with many Fortune 500 companies enabling digital and AI transformations, specifically in machine learning-based demand forecasting. He is considered an expert, thought leader, and strong voice in the world of time series forecasting. Currently, Manu leads applied research at Thoucentric, where he advances research by bringing cutting-edge AI technologies to the industry. He is also an active open-source contributor and developed an open-source library—PyTorch Tabular—which makes deep learning for tabular data easy and accessible. Originally from Thiruvananthapuram, India, Manu currently resides in Bengaluru, India, with his wife and son
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Technical requirements

You will need to set up the Anaconda environment following the instructions in the Preface of the book to get a working environment with all the packages and datasets required for the code in this book.

You need to run the following notebooks for this chapter:

  • 02 - Preprocessing London Smart Meter Dataset.ipynb in Chapter02
  • 01-Setting up Experiment Harness.ipynb in Chapter04
  • 02-Baseline Forecasts using darts.ipynb in Chapter04
  • 01-Feature Engineering.ipynb in Chapter06
  • 02-Dealing with Non-Stationarity.ipynb in Chapter07
  • 02a-Dealing with Non-Stationarity-Train+Val.ipynb in Chapter07
  • 00-Single Step Backtesting Baselines.ipynb in Chapter08
  • 01-Forecasting with ML.ipynb in Chapter08
  • 01a-Forecasting with ML for Test Dataset.ipynb in Chapter08
  • 02-Forecasting with Target Transformation.ipynb in Chapter08
  • 02a-Forecasting with Target Transformation(Test).ipynb in Chapter08

The code for this chapter can be found at...

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Modern Time Series Forecasting with Python
Published in: Nov 2022Publisher: PacktISBN-13: 9781803246802

Author (1)

author image
Manu Joseph

Manu Joseph is a self-made data scientist with more than a decade of experience working with many Fortune 500 companies enabling digital and AI transformations, specifically in machine learning-based demand forecasting. He is considered an expert, thought leader, and strong voice in the world of time series forecasting. Currently, Manu leads applied research at Thoucentric, where he advances research by bringing cutting-edge AI technologies to the industry. He is also an active open-source contributor and developed an open-source library—PyTorch Tabular—which makes deep learning for tabular data easy and accessible. Originally from Thiruvananthapuram, India, Manu currently resides in Bengaluru, India, with his wife and son
Read more about Manu Joseph