A Comprehensive Beginners Guide for Researchers to Access, Preprocess, Query and Evaluate Dataset using Python: A Case Study

The era of Data Science, Machine Learning and Deep Learning has showcased the significance of dataset usage in the field of research. Since, the selection of high-quality dataset is very much important to train, validate and test the models, which directly affects the performance of the model, researchers must be able to choose proper dataset for their respective applications. However, the major hurdle for novice researchers is the difficulty in knowing how to access, preprocess and evaluate the datasets effectively. This paper provides a comprehensive handout for the beginners which includes step-by-step methodology for dataset access, preprocessing, querying and evaluation. As a case study, ISOT fake news dataset with Python code snippet is discussed. This comprehensive guide functions as a useful resource for novice researchers seeking to build a strong foundation in data handling.