Topic modeling is an unsupervised machine learning technique that's capable of scanning a set of documents, detecting word and phrase patterns within them, and automatically clustering word groups and similar expressions that best characterize a set of documents.

In the era of AI, automated decision making, and continuous process optimization data quality is extremely significant. Companies have to be data-driven and good quality data is a prerequisite for achieving it. Issues pertaining to data quality usually highlight lack of trust in data and poor decisions. So the next time you think you made a breakthrough data discovery, cross-verify its quality.

The process of creating a Machine Learning (ML) model includes training an ML algorithm with relevant data, so the model can make predictions on similar kind of unseen data. The prediction may be a classification (assigning labels) or a regression (a real value). The goal of a machine learning project is to achieve the final model that predicts accurately.