Data Preparation in Data Science

Data preparation is a crucial step in data science and data analytics. Data preparation is the process of cleaning and transforming raw data before analyzing and processing it further. It involves multiple steps such as gathering, assessing, cleaning, transforming, reformatting, correcting, filtering and combining data. Improving the data quality will usually lead to improved quality … Read more