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kaggle's Introduction

kaggle

Air Quality Marid

  • Mainly deal with missing data
  • Step
    1. Concatenate all data files
      • Raw Data
      • Wanted test data
    2. Produce missing values
      • random missing value
    3. Build glrm model(glrm : Generalized Low Rank Models)

Bike Sharing Demand

  • Build the regression model
  • Step
    1. EDA(Exploratory Data Analysis)
    2. Add time variables
    3. Bulid RandomForest Model
    4. Select important features

Movie Sentiment Analysis

  • Practice building the LSTM model
  • Step
    1. Preparing the data
    2. Convering a text into a list of integers
    3. Filling zeros to a fixed-length sentence
    4. Preparing training and testing data
    5. Bulid the model
      • Visualize model architecture
    6. Train the model
    7. Test

kaggle's People

Contributors

raysin8411 avatar

Stargazers

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