Data Science, Machine Learning, Artificial Intelligence, Big Data, AI.
selected data may contain errors, missing values, and inconsistency that needs to be cleaned. Different techniques and tools are required in this process. 4. Data transformation- Smoothing, aggregation, normalization, etc are some techniques used to transform data into an understandable format. 5.