Name: Michael Larico Barzola
Type: User
Company: @mlaricobarzola
Bio: Bachelor of System Engineering at UNI-PERU. My passion is Data Science, Big Data and AI. Currently, I'm working as a Data Engineer.
Twitter: MichaelLarico
Location: Lima, Peru
Blog: https://www.linkedin.com/in/michael-larico-8a584989/
Michael Larico Barzola's Projects
Scrapper solution for Backus Company
New York City Uber Rides 2014:
Data Engineering with Databricks Learning Path - Another version
Repo that contains Data Factory pipelines as part of studying the learning path for Azure Data Engineering Certification (DP-203)
Cheat Sheets
Notebooks for Datathon Alicorp 2023
Some demo notebooks
This repository contains some resources (mostly jupyter notebooks) that I use to learn and teach Deep Learning with Python.
Feature engineering package with sklearn like functionality
This repository contains all of the resources I worked on in order to learn and teach Functional Programming in Scala based on the Coursera Specialization.
this repository accompanies the book "Grokking Deep Learning"
This is the github repo for Learning Spark: Lightning-Fast Data Analytics [2nd Edition]
This repository contains some resources (mostly jupyter notebooks) that I've used on a Machine Learning Course that I taught with a pair of coworkers.
This repo contains resources about my experience taking de Machine Learning Engineering with Azure Nanodegree Program in Udacity.
Python code for common Machine Learning Algorithms
Python notebooks with ML and deep learning examples with Azure Machine Learning | Microsoft
Learn how to responsibly deliver value with ML.
This repo contains all of the solutions for the MIT 6.86x Machine Learning with Python - From Linear Models to Deep Learning course taught by the IDSS
My Website
My github page
This project is part of the Udacity Azure ML Nanodegree. In this project, we use Azure to configure a cloud-based machine learning production model, deploy it, and consume it. We also create, publish, and consume a pipeline.
In this project we use Microsoft Azure to configure a cloud based Machine Learning model.