Bielo López Lauber's repositories
Toolbox-to-the-Data-Analyst-WITH-VAGRANT-zeppelin-spark-hive-hbase-pig-r-storm-others
Educational virtual machine to practice scala, spark.r, pyspark, pig, hbase, flume, and others big data technology
Data_Wrangling_Automation
Data Wrangling Automation with R
Advanced-Deep-Learning-with-Keras
Advanced Deep Learning with Keras, published by Packt
AmazonSageMakerCourse
SageMaker Course Material
deploying-machine-learning-models
Example Repo for the Udemy Course "Deployment of Machine Learning Models"
docker-stacks
Ready-to-run Docker images containing Jupyter applications
EasyOCR
Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
faker
Faker is a Python package that generates fake data for you.
feature-engineering-for-machine-learning
Code Repository for the online course Feature Engineering for Machine Learning
hydra
Hydra is a framework for elegantly configuring complex applications
incubator-toree
Mirror of Apache Toree (Incubating)
kafka-python
Python client for Apache Kafka
ktrain
ktrain is a Python library that makes deep learning and AI more accessible and easier to apply
learning-hadoop-and-spark
Companion to Learning Hadoop and Learning Spark courses on Linked In Learning
Machine-Learning-Completo
Machine Learning Completo
Machine-Learning-for-Healthcare-Analytics-Projects
Published by Packt
models
Models and examples built with TensorFlow
month_estimation_gdp_with_R
Estimación mensual del producto bruto interno de Uruguay realizada en el año 2015.
R-Ingenieria_De_Datos
Tuberías para automatizar la limpieza de datos en R
skleangrid
Hyper-tunning machine learning model with sklean.
stdlib
✨ Standard library for JavaScript and Node.js. ✨
webscraping
Escrapeando varias páginas - realizado por Bielo López Lauber, aunque las modifiquen o en su caso bloqueen el ip por algunos días se puede realizar con vpc a maquinas virtuales creadas de diversas nubes. Siempre hay forma sea la web que sea. Ingenio es la idea detrás. USAR A DISCRECIÓN PARA NO AFECTAR LOS SERVIDORES, AUNQUE EL CÓDIGO TIENEN SUS TIEMPOS DE DEMORA QUE TAMBIÉN SE PUEDEN HACER CON UN RANDOM.