Machine Learning for Everybody – Full Course

This course aims to teach Machine Learning to absolute beginners in an accessible way. By using TensorFlow, learners will grasp the basics of Machine Learning and implement various concepts such as supervised learning (classification and regression), K-Nearest Neighbors, Naive Bayes, Logistic Regression, Support Vector Machine, Neural Networks, Linear Regression, K-Means Clustering, and Principal Component Analysis. The course is taught through a series of instructional videos and hands-on coding exercises. It is intended for individuals who are new to Machine Learning and want to understand its fundamental principles and applications.