The impact of covid-19: to predict the breaking point of the disease from big data by neural networks

• Abstract
  
  • 1.1. SARS and MERS
    
  • 1.2. Seasonal Virus
    
  • 1.3. 2019 Novel Coronavirus
    
  • 2.1. Numerical Weather Prediction (NWP)
    
  • 2.2. Deep Learning Model
    
  • 3.1.1. HDFS
    
  • 3.1.2. MapReduce
    
  • 3.1.3. Yarn
    
  • 3.2. Spark
    
  • 3.2.1. Low-Level API
    
  • 3.2.2. Structured API
    
  • 3.2.3. Machine Learning on Spark (MLlib)
    
  • 3.2.3.1.Transformer
    
  • 3.2.3.2.Estimator
    
  • 3.2.3.3.Evaluator
    
  • 3.2.3.4.External libraries
    
  • 3.3. Docker
    
  • 3.3.1. Micro-Service
    
  • 3.3.2. Image and Container
    
  • 3.3.3. Networks
    
  • 3.3.4. Kubernetes
    
  • 4. CONCLUSION
    
  • 1. DEVELOPMENT ENVIRONMENT
    
  • 2. DATA
    
  • 2.1. Daily COVID-19 confirmed cases
    
  • 2.2. Max Temperature Data
    
  • 3. EDA, Exploratory data analysis
    
  • 4. PREDICTION MODELING
    
  • 4.1. Data Preprocessing
    
  • 4.2. Multi-Layer Perceptron