Machine Learning: Random Forest with Python from Scratch©
The complete decision tree and Random Forest course with Python using real datasets
Created by AI Sciences
Explore the foundations of machine learning by building decision trees and random forests using Python. You'll start with essential programming skills and gradually move toward creating powerful predictive models with real-world data. No prior experience in machine learning is required.
Packt | Nov 2022 | 500 min
What You Will Learn
You will begin by learning Python basics, then move on to hands-on coding exercises that guide you through constructing decision trees and random forests. Each concept is introduced with clear explanations and practical examples, helping you apply new skills to real datasets as you progress.
Key Features
- Build decision trees and random forests from scratch using Python code
- Apply data preprocessing and visualization techniques with Pandas and Matplotlib
- Use scikit-learn to train, test, and evaluate machine learning models
Target Audience
Perfect for beginners who want to break into machine learning or Python programming. If you have little or no background in data science but want to build predictive models and understand how algorithms like random forests work, you'll find this course approachable and rewarding.
