- In the ETL stage I carried out:
- - Exclusion of null values, duplicates, and outliers;
- - Normalization of predictor variables;
- - Balancing the target variable;
- - Correlation analysis;
- I leveraged this data to compare 2 techniques widely used in data science:
- - Machine Learning with Random Forest;
- - Deep Learning with Neural Networking;
- In this case, the accuracy of the Random Forest model was more efficient.
