Volve_dataset-1

Simple Ml regression models applied on Volve Dataset

• Performed EDA
  
• Selected features based on Linear relationship between variables
  (Some variables are non linearly related)
  Split Data into 70:30::training:testing (60::40 & 80::20 perform worse on this Dataset)
  Used ML models to forecast Oil Production
  
  • Multi Linear Regression
    
  • KNN Regressor
    
  • Decision Tree
    
  • Random Forest
    
  • Gradient Boosting
    
  • XGB
    
  • Support Vector Machine (with 3 different Kernels = rbf, poly & sigmoid
    Evaluated Model using different errors
    Have to test for more metrics in future, need to do PCA to reduce data dimension
    Use Deep Learning methods on Time series Data