PRB Prediction

Tech Used: TFIDF Vectorization, Python,XGboost, Python, GCP, Big Query,Docker

Projects deals PRB Throughput prediction based on the Active users available in knowledge base(Neo4J graph Data Base) assistance.

Build data cleaning technique based on different timeframe in python.

Build the model using Computing core agent and using XGboost algorithms.

Implemented learning features in XGboost algorithms.

Build impact analysis reports to measure the PRB throughput in different time frame.