Data Preprocessing and Data Wrangling in Machine Learning and Deep Learning

Deep learning and Machine learning are becoming more and more important in today's ERP (Enterprise Resource Planning). During the process of building the analytical model using Deep Learning or Machine Learning the data set is collected from various sources such as a file, database, sensors and much more. But, the collected data cannot be used directly for performing analysis process. Therefore, to solve this problem Data Preparation is done. Data Preparation is an important part of Data Science. It includes two concepts such as Data Cleaning and Feature Engineering.