STAT 195 - Introduction to Supervised Learning Learning Course

[STAT 195 - Introduction to Supervised Learning Learning Course] STAT 195 - Introduction to Supervised Learning STAT 195 provides an introduction to supervised learning techniques used in machine learning and statistical modeling. The course covers topics such as linear regression, logistic regression, decision trees, support vector machines, and ensemble methods (bagging, boosting). Students learn how to formulate predictive models, evaluate model performance using cross-validation and metrics (accuracy, precision, recall), and interpret model results. Through theoretical foundations and hands-on exercises, students gain practical skills in implementing supervised learning algorithms, preprocessing data, tuning model parameters, and deploying models to make predictions in applications such as marketing analytics, healthcare diagnostics, and image recognition.This Learning Course is a platform that helps students to study and learn. The platform provides all the required material for the students to study. The material includes Study guide, Exam Questions & Answers, Study Notes and other resources that are useful for the students. It also gives information about the upcoming exams so that students can prepare themselves accordingly.