Machine Learning Pipeline Exercises

This page gathers Nicolas Pereira’s machine-learning coursework from preprocessing through deployment.

Repository

• Machine Learning - A course repository covering common supervised and unsupervised learning topics.

Topics Covered

• Intro to machine learning
• Titanic preprocessing
• Linear regression and KNN
• Decision tree classification
• Support vector classification
• Support vector regression
• Random forest
• Holdout method
• Evaluation metrics
• K-means clustering
• Model deployment
• ABP loan modeling

Technical Focus

• Preprocessing and classical models
• Classification, regression, and clustering
• Evaluation and validation workflows
• Applied projects tied to course progression