Energy Algorithm: 2nd place

I hope this summary will give you some insights about machine learning.
This is the 2nd place algorithm of the New energy vehicle power calculation competition. (Prize 50,000¥)
You can see the "New energy vehicle big data competition.pdf" for competition description
Energy_Algorithm_ppt for Algorithm introduction
Trainingset and testset data are in the dataset, energy_train1029.csv, energy_test1029.csv
Short description of the files in folder "Models":
featureEngineering.py for feature engineering,
feature_list.py for feature list,
model_submit_m.py for algorithm main module,
model_submit using mlxtend API,
EDA.py for data analysis,
Outlier.py outlier detection,
clus.py feature classifikation,
tunning.py automated tuning framework