Master Model building Training Courses

Automated Machine Learning (AutoML) for Researchers Training Course is designed to equip researchers with hands-on experience and practical knowledge of leading AutoML platforms such as Google AutoML, H2O.ai, Auto-Sklearn, TPOT, and Amazon SageMaker Autopilot.

KNIME for Visual Data Science Training Course empowers professionals to seamlessly integrate data preparation, advanced analytics, and machine learning into intuitive, visual workflows.

Neural Networks for Research Applications Training Course emphasizes a hands-on, practical approach, integrating machine learning frameworks such as TensorFlow and PyTorch, alongside innovative case studies drawn from current scientific research.

RapidMiner for Predictive Analytics Training Course is designed to equip participants with hands-on expertise in building, deploying, and optimizing machine learning models, data mining workflows, and predictive solutions across industries.

Regression Analysis for Impact Evaluation Training Course provides participants with a comprehensive understanding of regression models, including linear, logistic, and multilevel regressions, along with practical applications in monitoring and evaluation

TensorFlow for Data Analysis Training Course provides hands-on experience with TensorFlow, Python, data preprocessing, feature engineering, and predictive modeling, enabling participants to design scalable, production-ready solutions.