Master Data preprocessing Training Courses

Data Imputation Techniques for Missing Data Training Course equips learners with in-depth knowledge and hands-on experience in dealing with incomplete datasets using statistical, machine learning, and AI-powered imputation methods.

Training Course on Data Wrangling and Feature Engineering for Spatial Models provides a comprehensive deep dive into Data Wrangling and Feature Engineering techniques specifically tailored for spatial models.

Training Course on Feature Engineering & Selection (Advanced) goes beyond foundational concepts, exploring advanced methodologies for data preprocessing, feature creation, and dimensionality reduction.

Training Course on Imbalanced Data Handling in ML dives deep into the intricacies of imbalanced data, equipping participants with cutting-edge techniques and practical strategies to overcome this common hurdle.