The Machine Learning training program is designed to provide a comprehensive introduction to the core concepts, techniques, and tools used in building intelligent systems. This course covers both theoretical foundations and practical implementation, enabling learners to develop models that can make predictions, uncover patterns, and support data-driven decision-making. Whether you're a beginner in data science or a professional aiming to enhance your analytical skills, this training takes you through supervised and unsupervised learning, model evaluation, and essential algorithms like linear regression, decision trees, and clustering. Using hands-on exercises with real-world datasets and tools such as Scikit-learn and Jupyter Notebooks, participants will gain practical experience in solving machine learning problems from start to finish.
Nur Aisyah
A skilled and dedicated trainer with expertise in data analytics, statistical modeling, and programming tools, this professional brings a practical, learner-focused approach to every session. With experience delivering training across diverse industries and academic levels, they specialize in simplifying complex concepts and equipping participants with real-world, job-ready skills. Known for their interactive teaching style and up-to-date knowledge of tools like Python, R, Power BI, and Stata, this trainer is committed to building data literacy and fostering continuous learning among individuals and teams alike.