What you will Learn?
Regression modeling with linear and logistical regression.
Classification modeling with naive bayes, k-nearest neighbor, and support vector machine.
Decision tree models with random forest and the accompanying boosting algorithms.
Collaboration, Branching, Open Source and GitHub Pages.
K-Means clustering and Recommendation systems.
Model selection and evaluation metrics.
The Microsoft Learn Student Ambassadors program is a global group of on-campus ambassadors who are eager to help students and their communities, lead in their local tech circles, and develop technical and career skills for the future.