Regresión logística con NumPy y Python

Bienvenidos! This course is a hands-on project-based approach to logistic regression using Python and NumPy. You will delve into the fundamentals, implementing gradient descent, cost function, and logistic regression without relying on popular machine learning libraries.

• Implement the gradient descent algorithm from scratch
• Perform logistic regression using Python and NumPy
• Create data visualizations with Matplotlib and Seaborn

Join this practical project on Rhyme, where you'll have instant access to pre-configured cloud desktops containing all the necessary software and data. Get ready to build a deeper understanding of machine learning fundamentals in under 2 hours!