Pinned Repositories
2AnosNamoro
Analise de 2 anos de conversas pelo Hangouts
AdTracking-Fraud-Detection
Fraud Detection in Click Traffic in Mobile Application Advertisements
Facebook-PyTorch-Scholarship-Challenge
Notes and some code for the PyTorch Scholarship program from Udacity
House_Sales-_King-County
House Sales in King County, USA
Intro-Stat-Learning
Exercises for "An Introduction to Statistical Learning" in Python
learning
0.99³⁶⁵ = 0.03 -> 1.00³⁶⁵ = 1 -> 1.01³⁶⁵ = 37.8
Practical-Time-Series-Analysis
Course materials and exercises for the Coursera: Practical Time Series Analysis from The State University of New York in Python.
Predicting_Credit_Risk-German_Credit_Risk
Predicting Credit Risk - German Credit Risk Dataset using Python
search-ranking-recsys-studies
Estudos sobre Search & Ranking
workshops_presentations_material
Workshops, Presentations and Meetup material where I participated/developed
jcabralc's Repositories
jcabralc/Facebook-PyTorch-Scholarship-Challenge
Notes and some code for the PyTorch Scholarship program from Udacity
jcabralc/Intro-Stat-Learning
Exercises for "An Introduction to Statistical Learning" in Python
jcabralc/Practical-Time-Series-Analysis
Course materials and exercises for the Coursera: Practical Time Series Analysis from The State University of New York in Python.
jcabralc/Predicting_Credit_Risk-German_Credit_Risk
Predicting Credit Risk - German Credit Risk Dataset using Python
jcabralc/2AnosNamoro
Analise de 2 anos de conversas pelo Hangouts
jcabralc/DataScience_Cheat_Sheet
Variety of PDF with multiple Cheat Sheets for data scientists
jcabralc/Image-Processing-IMPA
Projetos desenvolvidos para a disciplina Processamento de Imagens, ministrada no segundo semestre de 2020 pelo professor Luiz Velho no IMPA.
jcabralc/search-ranking-recsys-studies
Estudos sobre Search & Ranking
jcabralc/AdTracking-Fraud-Detection
Fraud Detection in Click Traffic in Mobile Application Advertisements
jcabralc/learning
0.99³⁶⁵ = 0.03 -> 1.00³⁶⁵ = 1 -> 1.01³⁶⁵ = 37.8
jcabralc/workshops_presentations_material
Workshops, Presentations and Meetup material where I participated/developed
jcabralc/amazon-sagemaker-examples
Example notebooks that show how to apply machine learning and deep learning in Amazon SageMaker
jcabralc/Amazon_Rekognition_Image
Detect face characteristics and humor from images
jcabralc/ANOVA_Fatores_Maior_Impacto_Salario
jcabralc/Dog_Breed_Identification
Kaggle Dog Breed Identification Competition https://www.kaggle.com/c/dog-breed-identification
jcabralc/DSA_competitions
Repository with my solutions for the Data Science Academy (DSA) competitions on Kaggle InClass
jcabralc/forest_cover_type_prediction
Use cartographic variables to classify forest categories
jcabralc/Generative-AI-with-LLMs
This repo contains the lab work for Coursera course on "Generative AI with Large Language Models"
jcabralc/ICMC_ITP2021_Intro_Probabilidade
jcabralc/image_similarity
Image Similarity using OpenCV and scikit-image
jcabralc/Intel-Edge-AI-Scholarship-Foundation-Course-Nanodegree-Program
Intel® Edge AI Scholarship Foundation Course Nanodegree Program Repository - Udacity
jcabralc/ml-utils
Some Machine Learning utils snippets
jcabralc/Pizza_restaurants_EUA
Analise de Pizza Restaurants e as pizzas que eles servem
jcabralc/project-prediction-bike-sharing
Project - Predict Bike Sharing using Python and MLFlow
jcabralc/projeto_SIN5007_rec_padroes
Trabalhos desenvolvidos para disciplina SIN5007 - Reconhecimento de Padrões. Escola de Artes, Ciências e Humanidades da Universidade de São Paulo - EACH-USP.
jcabralc/Recommender_Systems
Building Recommender Systems with Machine Learning and AI
jcabralc/stats-math-study
Coisas sobre estatística e math
jcabralc/Teste_Significancia_Avaliar_Pag_TempoErro_Web
Testes de Significância Estatística Para Avaliar o Impacto do Tipo de Página no Tempo de Execução e Erros de Uma Aplicação Web
jcabralc/WiDS_Datathon_2020
jcabralc/Workshop-NLP-python
Workshop de NLP utilizando Python