Description
Data science work typically requires a big lift near the end to increase the accuracy of any model developed. These five recommendations will help improve your machine learning models and help your pr ...
Summary
- Data science work typically requires a big lift near the end to increase the accuracy of any model developed.
- Feature Engineering The second way you can significantly improve your machine learning model is through feature engineering.
- Feature Selection The third area where you can vastly improve the accuracy of your model is feature selection, which is choosing the most relevant/valuable features of your dataset.
- some algorithms, like random forests or XGBoost, allow you to determine which features were the most “important” in predicting the target variable’s value.