Introduction to Machine Learning I
Unlock the full potential of machine learning with our comprehensive 5-module course!
Unlock the full potential of machine learning with our comprehensive 5-module course! From mastering data representation and exploratory analysis to implementing support vector machines (SVM) in both classification and regression, you’ll gain the essential skills needed to excel in the field. Learn to handle numerical and categorical data, train-test splitting, and optimize SVM hyperparameters to achieve optimal results. By the end of this course, you’ll be equipped with the knowledge and tools to confidently tackle real-world machine learning problems!
Syllabus: Introduction to Machine Learning I
The Data Analytics Specialization is a 4-week bundle that is curated to accelerate a student’s mastery in building data products, develop a web application, and data visualization.
Students are not assumed to have a working knowledge of Python or prior proficiency in statistics/mathematics/algebra. As such the workshop follows a gentle learning curve and emphasizes hands-on, one-to-one tutoring from our team of instructors and teaching assistants.
Students work through tons of real-life examples using sample datasets donated by our team of mentors and corporate partners. We believe in a learn-by-building approach, and we employ instructors who are uncompromisingly passionate about your growth and education.
This course is part of the Algoritma Data Analytics Specialization. Participants are rewarded with a certificate of completion upon passing criteria.