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Seoul bike sharing demand prediction is a project that uses machine learning to predict the demand for rental bikes in Seoul, South Korea. The project aims to provide insights for the city's bike-sharing system to better manage the supply of bikes and ensure their availability to the public at the right time.

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decision-trees elasticnet-regression lasso-regression linear-regression random-forest ridge-regression

seoul-bike-sharing-demand-prediction's Introduction

Hi ๐Ÿ‘‹, I'm Animesh Chakraborty

I have a strong interest in DATA SCIENCE and MACHINE LEARNING, and currently, I am working as a trainee in the field of Data Science. My interests include Python programming, Machine Learning and Statistics.

MasterHead

hiteshlko1

  • ๐ŸŒฑ Iโ€™m currently Persuing Azure, GCP,Machine Learning , Deep Learning ,NLP ,Computer Vision

  • ๐Ÿ’ฌ Ask me about Python, SQL,ML,DL,NLP

  • ๐Ÿ“ซ How to reach me [email protected]

  • ๐Ÿ“„ Know about my experiences

Connect with me:

Animesh Chakraborty

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azure docker flask gcp git kubernetes linux mssql mysql pandas postgresql python pytorch scikit_learn seaborn sqlite tensorflow

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