Kalebe Szlachta's repositories
Data_Streams_Parametric_T-SNE
Research for Parametric T-SNE in high to low dimensional data stream, published in 2021 by Kalebe Rodrigues Szlachta and Andre de Macedo Wlodkowski, oriented by Jean Paul Barddal, Computer Science graduation from Pontifical Catholic University of Parana (PUCPR)
Economic_Analysis_Data_Science
Data Analysis Python project using economic data base to predict percentage of good and bad payers
practical-statistics-for-data-scientists
Code repository for O'Reilly book
PythonDataScienceHandbook
Python Data Science Handbook: full text in Jupyter Notebooks
WinIdea_Automation
WinIdea automation for ECU flashing process using Python, under development.
bank_test_data_science
Econ data science test case
Computer_Vision
Computer Vision university project for coin detection
CoreNLP
Stanford CoreNLP: A Java suite of core NLP tools.
data-science-ipython-notebooks
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
System_Architecture_Projects
System achitechture fundaments and main algorithms
bernaferrari
The description for my GitHub profile.
Data_Structures
Data Structures in Java
ML-Course-Notes
π Sharing course notes on all topics related to machine learning, NLP, and AI.
Nearby_search_GO
Algorithm for nearby search using Google Maps api
Python_Weird_Projects
Tests and weird codes that I started to excercise and make fun
Spark_Training
SparkSQL exercises in Java
stanford-cs-229-machine-learning
VIP cheatsheets for Stanford's CS 229 Machine Learning
stanford-tensorflow-tutorials
This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.
stanfordacm
Stanford ACM-ICPC related materials
vscode
Visual Studio Code