Master Machine Learning and Data Modeling; Go from Zero to Hero

This course provides a technical foundation in machine learning, covering the complete lifecycle from data preprocessing to model deployment. Participants will study the mathematical principles behind supervised and unsupervised learning, including linear regression, classification trees, and clustering algorithms. The curriculum emphasizes reliable model evaluation and hyperparameter tuning to ensure accurate predictions. By the end of the program, learners will be able to select appropriate algorithms for specific data problems and implement them using standard industry practices.