Machine Learning I – Build Your First ML Model

Machine learning is at the core of AI, powering recommendation systems, fraud detection, and medical diagnostics. This course provides a structured, hands-on approach to understanding machine learning fundamentals. By the end, you will be able to train and evaluate machine learning models and apply them to real-world datasets.

What You’ll Learn:

• Fundamentals of Machine Learning: Supervised vs. Unsupervised Learning
• Core Algorithms: Linear Regression, Decision Trees, K-Nearest Neighbors
• Data Preprocessing Techniques: Feature Engineering and Data Cleaning
• Evaluating Model Performance: Accuracy, Precision, Recall, and F1 Score
• Hands-on Project: Develop and test a predictive machine learning model

Certification Requirement:

• Pass the ML Fundamentals Assessment
• Submit and defend a working ML model