Machine Learning - Fundamentals (Paid course free with certificate)

This course offers an insightful introduction to the world of Machine Learning. Here, students learn the foundational concepts, starting with installing a Python Environment, using Anaconda. From there, students explore beginner-level classification models using Scikit-learn and Spicy with Anaconda. This course also offers a great introduction to working with Data Sets and formulating predictions using KNeighborsClassifier. "Machine learning (ML) is the study of computer algorithms that improve automatically through experience. It is seen as a subset of artificial intelligence. Machine learning algorithms build a mathematical model based on sample data, known as "training data", in order to make predictions or decisions without being explicitly programmed to do so. Machine learning algorithms are used in a wide variety of applications, such as email filtering and computer vision, where it is difficult or infeasible to develop conventional algorithms to perform the needed tasks."