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The objective of this project is to predication of bike rental count on daily based on the environmental and seasonal settings. As it gets easy for an organisation to arrange the resource if the demand spikes.

R 1.16% Jupyter Notebook 98.84%
data-analysis data-science decision-tree-regression feature-scaling feature-selection knn-regression linear-regression-models machine-learning missing-values outlier-detection random-forest-regression

bike_renting's Introduction

Hi ๐Ÿ‘‹ My name is Akash Hemant Saxena

Data Science Engineer

Passionate Data Science Engineer with a keen interest in deploying cutting-edge models. Proficient in leveraging AI and ML techniques, I specialize in Natural Language Processing (NLP), Convolutional Neural Networks (CNN), and Generative AI. Mastery extends to frameworks like scikit-learn, Deep Learning. Excited about solving complex challenges, I've successfully implemented models, including ANN and BERT. Adept in end-to-end development, I've contributed to impactful projects, such as analytics dashboards, predictive models, and recommendation modules, consistently driving business success.

  • ๐ŸŒย  I'm based in Nagpur, Maharashtra, India
  • โœ‰๏ธย  You can contact me at [email protected]
  • ๐Ÿง ย  I'm learning Generative AI

Skills

PythonGitFast APIGraphQLMongoDBMySQLPostgreSQLHerokuFlaskDjangoAmazon Web ServicesDockerLinuxPyTorchTensorFlowFigma

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