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In this project, an analytical approach on the large dataset is applied for advance prediction of average household electricity consumption located in different regions of United Kingdom. Several machine learning models are implemented and compared for the prediction analysis. This project also involves an estimation of the expected emission of CO2 in the environment using deep learning modelling based on the predicted usage of electricity.

License: GNU General Public License v3.0

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data-science datavisualization deeplearning descriptive-analysis exploratory-data-analysis inferential-statistical-analyses machinelearning prediction-analysis future-forecast jupyter-notebook

advance_prediction_of_electricity_consumption_uk's Introduction

Hi there ๐Ÿ‘‹

  • ๐Ÿ‘ฉ Iโ€™m Wania Khan (She/her)
  • ๐Ÿ‘€ Iโ€™m tech enthusiast and Machine Learning researcher. Recently completed my Masters in Green Networking and Cloud Computing.
  • ๐ŸŒฑ I have strong expertise in data analytics, data visualization and data modelling. I have done quite many projects which I consider can help other students or data enthusiasts like me ๐Ÿ™‚
  • ๐Ÿ’ป I am expert in python prgramming but I also have a good grip in C++, Java and SQL.
  • ๐Ÿ’ž๏ธ Are you interested in data science and machine learning? check out my repositories.
  • ๐Ÿ“ซ Reach out to me on my linkedin account - link given in the profile section.

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