Udemy - Supervised Machine Learning Explained - The Top 5 Models

Supervised Machine Learning Explained: The Top 5 Models

https://WebToolTip.com

Published 6/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 1h 49m | Size: 3.41 GB

A Beginner-Friendly Guide to Training and Evaluating Models

What you'll learn
Explain how supervised machine learning works by understanding features, targets, datasets, and how models learn from data.
Build core supervised learning models including linear regression, logistic regression, k-nearest neighbors, decision trees, and random forests.
Evaluate model performance using regression and classification metrics such as train/test splits, confusion matrices, precision, recall, and cross-validation.
Improve model performance by diagnosing overfitting and underfitting and applying feature scaling and preprocessing.
Develop the confidence and conceptual foundation needed to independently explore and continue building.

Requirements
No Machine Learning experience needed. You will learn everything you need to know.
Basic Python knowledge, including variables, data types, conditional statements, loops, and functions
Familiarity with Python syntax and simple scripts