Pinned Repositories
Ada-Boost-Tutorial
brookshear-machine
A Brookshear Machine Emulator written in React and Mobx
conceitos-basicos-NLP
Aulas de conceitos básicos de Processamento de Linguagem Natural oferecida no Discord aberto no Turing USP
curso-jupyter
Ciência de Dados com Reprodutibilidade Usando Jupyter
Diabetes-Prediction-Using-ML-Classifiers
A robust framework was proposed where outlier rejection, filling the missing values, data standardization, K-fold validation, and different Machine Learning (ML) classifiers were used. Finally, to improve the result, weighted ensembling of different ML models also proposed.
handson-ml2
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
ieeetran
Quarto template for IEEE Transactions journals and conferences
illustrated-machine-learning.github.io
Website containing illustrations about Machine Learning theory!
introduction-datascience-python-book
Introduction to Data Science: A Python Approach to Concepts, Techniques and Applications
livroescd
paulocg's Repositories
paulocg/Ada-Boost-Tutorial
paulocg/brookshear-machine
A Brookshear Machine Emulator written in React and Mobx
paulocg/conceitos-basicos-NLP
Aulas de conceitos básicos de Processamento de Linguagem Natural oferecida no Discord aberto no Turing USP
paulocg/curso-jupyter
Ciência de Dados com Reprodutibilidade Usando Jupyter
paulocg/Diabetes-Prediction-Using-ML-Classifiers
A robust framework was proposed where outlier rejection, filling the missing values, data standardization, K-fold validation, and different Machine Learning (ML) classifiers were used. Finally, to improve the result, weighted ensembling of different ML models also proposed.
paulocg/handson-ml2
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
paulocg/ieeetran
Quarto template for IEEE Transactions journals and conferences
paulocg/illustrated-machine-learning.github.io
Website containing illustrations about Machine Learning theory!
paulocg/introduction-datascience-python-book
Introduction to Data Science: A Python Approach to Concepts, Techniques and Applications
paulocg/livroescd
paulocg/materials-sp20
DO NOT EDIT THE CONTENTS OF THIS REPO DIRECTLY! Publicly available materials that are used in the Data 8 Foundations of Data Science course during the Spring 2020 semester. Generated by data-8/assignments (private).
paulocg/moleculer
:rocket: Progressive microservices framework for Node.js
paulocg/py-rse
Research Software Engineering with Python course material
paulocg/sbse2022