Machine Learning - Data Collection and Sampling Techniques

The video provides a comprehensive overview of different methods of data collection including surveys, interviews, and questionnaires. It delves into various sampling techniques such as systematic sampling, stratified sampling, random sampling, researcher obtaining subjects, stratified groups, cluster sampling, and convenience sampling. These methods are crucial for researchers to gather accurate and representative data for their studies.