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Overview
This specialized course focuses on some of the most powerful supervised learning algorithms in machine learningâdecision trees, random forests, Ada Boost, and XGBoostâusing Python. Youâll learn the theory behind each model, how to implement them with libraries like scikit-learn and XGBoost, tune hyperparameters, and evaluate performance with cross-validation and feature importance. Through real-world datasets and code-along exercises, youâll gain practical experience in model selection and interpretation. Ideal for data analysts, ML engineers, and aspiring data scientists, this course builds strong...
Syllabus
- Introduction
- Setting up Python and Python Crash Course
- Integrating ChatGPT with Python
- Machine Learning Basics
- Simple Decision trees
- Simple Classification Tree
- Ensemble technique 1 - Bagging
- Ensemble technique 2 - Random Forests
- Ensemble technique 3 - Boosting
- Add-on 1: Preprocessing and Preparing Data before making ML model
Instructor
Start-Tech Academy
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