COVID-19 mRNA Vaccine Degradation Prediction

oferecido por
Coursera Project Network
Neste projeto guiado, você irá:

Visualize and Understand Covid-19 mRNA Vaccine Sequence Data.

Build and Training a Model to make mRNA Vaccine Degradation Rate Predictions.

Evaluating the model and making predictions for the Degradation Rates.

Clock2 hours
IntermediateIntermediário
CloudSem necessidade de download
VideoVídeo em tela dividida
Comment DotsInglês
LaptopApenas em desktop

In this 2-hour long project-based course, you will learn how to predict mRNA Vaccine Degradation Rates at various positions of the molecule. Our model will predict likely degradation rates at each base of an RNA molecule which will be useful to develop models and design rules for RNA degradation. We will look at how to build a Bidirectional Gated Recurrent Units Neural Network which can predict the degradation for multiple scenarios at each of the base. We will cover how to train the model and evaluate on a test set. We will then finally make predictions using the trained model and compare it with the original degradation rates. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.

Habilidades que você desenvolverá

  • Recurrent Neural Network
  • Artificial Neural Network
  • keras
  • gated recurent units

Aprender passo a passo

Em um vídeo reproduzido em uma tela dividida com a área de trabalho, seu instrutor o orientará sobre esses passos:

  1. Introduction to Covid-19 mRNA Vaccine Dataset & the Model

  2. Understanding, Loading & Visualizing the Data

  3. Preprocessing the Data

  4. Building a Bidirectional Gated Recurrent Unit (GRU) Neural Network Model

  5. Training the Bidrectional GRU Model

  6. Evaluating the Model & Making Predictions

Como funcionam os projetos guiados

Sua área de trabalho é um espaço em nuvem, acessado diretamente do navegador, sem necessidade de nenhum download

Em um vídeo de tela dividida, seu instrutor te orientará passo a passo

Perguntas Frequentes – FAQ

Perguntas Frequentes – FAQ

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