cornel.ai

Date:

Sep 02, 2025

Download repo: Zipped Repo

Welcome 👋 — hands-on notebooks for Classification, Regression, Optimization, Computer Vision, and Coding Snippets.

cornel.ai is a collection of practical Jupyter notebooks demonstrating key concepts and workflows in machine learning, optimization, and data analysis. Each section provides end-to-end examples, from data preparation to model evaluation and deployment.

Classification

End-to-end categorical prediction: data prep, model choice, evaluation, deployment patterns.

To the getting started guides

Regression

Modeling continuous relationships: feature engineering, regularization, diagnostics, forecasting bases.

To the regression notebooks

Optimization

Framing and solving objective problems: gradients, constraints, global search, performance tuning.

To the optimization notebooks

Computer Vision

Full image workflow: loading, augmentation, feature extraction, classical pipelines pre‑DL.

To the computer vision notebooks

Snippets

Practical Python, NumPy, and Pandas patterns: data wrangling, iteration, visualization, and reusable utilities.

To the coding snippets

Contents

• Classification
  • Simple Binary Classification with Sigmoid Activation
• Regression
  • Diamond Price Prediction
  • Simple Linear Regression
• Optimization
  • Genetic Algorithm Basics
  • Newton’s Method Optimization
• Computer Vision
  • OpenCV & NumPy Simple Image Processing
• Snippets
  • Python
  • Numpy
  • Pandas

My Github Profile

• GitHub: cornel05

My Personal Website (under development)

• cornel05.github.io