This Specialization equips learners with a strong foundation in machine learning, combining the statistical power of R with the flexibility of Python. Learners will progress from regression and classification to clustering, neural networks, and time series forecasting, while also mastering advanced preprocessing and model optimization. With a balance of theory and applied coding, participants will gain the ability to analyze, predict, and deploy machine learning models effectively. Designed for students, professionals, and aspiring data scientists, this program ensures learners can apply their knowledge to real-world scenarios with confidence.
Applied Learning Project
Learners will complete project-based assignments that simulate real-world machine learning workflows, from cleaning and preprocessing data to building predictive models and interpreting results. Using R and Python, participants will tackle regression, classification, clustering, and forecasting tasks, applying best practices to deliver reliable insights and actionable solutions.
