bicsu / RegressionStudying

Regression Studying

Regression

• Data : https://archive.ics.uci.edu/ml/datasets/Automobile

• Target : 'normalized-losses'

• Ignored to feature 'symboling'

• Using Randomforest regressor model

• Steps :

  1. Loading Files
  2. Data Preprocessing
     • fill the missing values
     • convert numeric values but object types to float type
     • check the distribution of targets
       • taking logs to make it normal distribution
  3. Detecting Outliers Before Modeling
     • using box plots to get outliers
  4. Normalization of numeric features
  5. One-hot encoding of categorical values
  6. Modeling(fit & predict & evaluation with MSE)