The most common issue faced during feature engineering is handling of missing data. It is important to handle the missing data as otherwise your machine learning libraries like Scikit-learn would not be able to work with your data. Before we look at the various ways to handle missing data, we need to first analyse the missing data causes and patterns. Causes can be several ranging […]
Apache Airflow – An Ideal Workflow Manager
When I became part of a data analytics project which provided a platform to top management to take data driven decisions for development teams, we were primarily analysing only one data source which was code repositories although the code repos in itself were multiple sources with recent solutions on stash but many older solutions still using legacy version control systems. This data pipeline was all […]