The goal of this project is to establish a machine learning pipeline in order to create a unit helping a bank exacutive to decide wether an application for loan is acceptable or should be rejected
in the model creation process a Logistic regression classifier and decision tree classifier were created and than saved for later used the one with higher precision
- Spark (mlib and spark sql)
- Hadoop HDFS
- Spring Boot
- Angular
- MongoDB
- Batch process: Model generation
- API for prediction requesting and prediction history
- Front end appliction
- Streaming process
- Docker compose for containerizing the applications
- the pipeline is missing the definition of the project were the data gathering and preprocessing happens from an original source