Intro to AI/ML Course: Machine Learning Theory

Welcome to the second lesson of the Intro to AI/ML Course! In this lesson, we go over the fundamentals of machine learning theory and do a small machine learning project in Python to show how we execute these ideas in code. Here are the notebooks we used for this lesson: Theory: https://github.com/Intro-Course-AI-ML/LessonMaterials/blob/master/2_ConceptsML.ipynb Coding project: https://github.com/Intro-Course-AI-ML/LessonMaterials/blob/master/projects/1_LinearRegressionProject.ipynb Here is our GitHub repository with the materials for this course: https://github.com/Intro-Course-AI-ML/LessonMaterials. All our materials will be contained here. If you have any questions or concerns, please contact us at ayaanzhaque@gmail.com and viraajreddi@gmail.com. You can also create a GitHub issue in our repository and we will quickly take a look at it