The course on Coursera titled "Supervised Machine Learning: Regression and Classification," part of the Machine Learning Specialization by DeepLearning.AI and Stanford Online, teaches foundational concepts and practical skills in machine learning. Taught by Andrew Ng and team, it covers:
Building machine learning models in Python using NumPy and scikit-learn. Training supervised models for prediction and binary classification tasks, including linear and logistic regression. This beginner-friendly course includes hands-on projects, assessments, and provides a career certificate upon completion, emphasizing practical application of machine learning techniques in real-world scenarios.
Course Completion Certificate Link: https://coursera.org/share/a4005a5901ae67aea63f31ef2edb322b
(In This Github Repo All The Graded Jupyter notebook related to this course)
