cHouse Price Estimation
R project template
-
Prepare Problem a) load package b) load dataset c) Split-out validation dataset
-
Summarize Data a) Descriptive statistics b) Data visualization
-
Prepare Data a) Data Cleaning b) Feature Selection c) Data Transform
-
Evaluate Algorithms a) Test options and evaluation metric b) Tune parameters c) Compare Algorithms
-
Improve Accuracy a) keep tuning b) Ensembles
-
Finalize Model a) Predictions on validation dataset b) Create standalone model on entire training dataset c) Save mode for later use