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ARTICLE ON AIR POLLUTION PREDICTION USING BI-DIRECTIONAL LSTM(LONG SHORT TERM MEMORY) DEEP LEARNING ARCHITECHTURE

Descrição da oferta de emprego

I am looking for a data scientist and a writer with experience in machine learning, particularly with Bi-directional LSTM deep learning algorithms.
Your task will be to write an article suitable for journal publication on air pollution prediction using PM2.
time series data from India.
The article should include.
- My name, ID number, guide name, guide designation, university name.
- Various metrics including loss curve, MSE, RMSE, R^2, accuracy, accuracy curves, actual vs predicted graphs.
- Analysis of the dataset from three stations.
Delhi, Mumbai, VIJAYAWADA.
-the writing sense should be as beginner friendly as possible to avoid suspision.
the journal/article should be published in websites where more b tech final year students upload their article not on some international websites except google scholar,springer,etc should be completed within a time span of 20 days Ideal candidates will have.
- Proficiency in Python and familiarity with libraries such as TensorFlow or Keras.
- Experience with data visualization tools.
- Strong academic writing skills.
- Previous publication in a scientific journal is a plus.
Python Estatísticas Análise estatística Extração de Dados Estatística SPSS ID do Projeto.
# Sobre o projeto 11 propostas Aberto para ofertas Projeto remoto Ativo em 19 minutos atrás
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Detalhes da oferta

Empresa
  • Indeterminado
Localidade
  • Em todo Portugal
Endereço
  • Indeterminado - Indeterminado
Data de publicação
  • 18/12/2024
Data de expiração
  • 18/03/2025
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