Machine learning (ML) approaches have emerged as a practical method for empirical investigations, offering new avenues for research and assessment in counseling. Through our empirically based research study, we provide a practical introduction to ML, its applications, and guides on implementing ML models for counseling research and assessment. We explore essential ML methodology, key ML algorithms, and ethical considerations. Participants are invited to discuss the potential of ML in advancing the counseling profession through research.