How to deal with Data Errors or not having enough Data

As you know data cleaning and processing play a huge role in the lifecycle of a data scientist. Nearly 80% of the project time has been spent on Data preprocessing. As data is so crucial part it’s our role to use it as efficiently as possible (to get...