Mario Aviles's Projects
Lisp code for the textbook "Paradigms of Artificial Intelligence Programming"
Pandas AI is a Python library that integrates generative artificial intelligence capabilities into Pandas, making dataframes conversational
Create HTML profiling reports from pandas DataFrame objects
Jupyter notebook and datasets from the pandas Q&A video series
Widely used and useful papers related to machine learning and deep learning
Research papers with annotations, illustrations and explanations
Curso Reconocimiento de Patrones - UC - Chile
A collection of tutorials and examples for solving and understanding machine learning and pattern classification tasks
C++ Notes as taken during my OOP Computer Science course. These notes go into details about many of the complicated concepts available in C++
Programación Orientada a Objetos en Python
All the basics of POO with Python
Python/C++ library for distribution power system analysis
Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.
Official Repository for 'Practical Natural Language Processing' by O'Reilly Media
Course project for Practical Machine Learning: https://www.coursera.org/course/predmachlearn
Serie de practicas para aprender pytorch
presentaciones LatinR 2018
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
A comprehensive 10-page probability cheatsheet that covers a semester's worth of introduction to probability.
Curated list of project-based tutorials
🐙 Guides, papers, lecture, notebooks and resources for prompt engineering
Web site for www.py4e.com and source to the Python 3.0 textbook
Machine Learning with Text in scikit-learn
Using pandas for Better (and Worse) Data Science
Data Science Best Practices with pandas
Tutorial: Machine Learning with Text in scikit-learn
Python code for "Machine learning: a probabilistic perspective" (2nd edition)
This repository helps you understand python from the scratch.