Mikel Sagardia's repositories
mlops_udacity
These are my notes of the Udacity Nanodegree Machine Learning DevOps Engineer.
mlflow_guide
My personal notes on how to use MLflow, compiled after following courses & tutorials, and after making personal experiences.
mxagar.github.io
My personal website.
project_compilation
This repository compiles some of the projects I have worked on.
software_devops_ibm
My personal notes of the IBM DevOps and Software Engineering from Coursera.
spark_big_data_guide
This repository contains my personal guide on Spark and topics related to Big Data.
tool_guides
Guides and examples of several tools and libraries, e.g.: PCL, OpenCV, C++, Python, Docker, GTest, etc.
advanced_ml_techniques
This repository collects material, guides and links related to intermediate-advanced techniques used in professional machine learning.
awesome-mlops
A curated list of references for MLOps
aws_guide
My personal notes on the foundations of AWS, compiled after following courses & tutorials and making personal experiences
azure-search-openai-demo
A sample app for the Retrieval-Augmented Generation pattern running in Azure, using Azure AI Search for retrieval and Azure OpenAI large language models to power ChatGPT-style and Q&A experiences.
azure_guide
This repository contains my personal notes on the fundamentals of the Microsoft Azure Cloud Provider. These notes were collected after following courses and tutorials, among others.
bitcoin_notes
This repository contains my personal notes done while studying Bitcoin and related technologies.
chatbot_evaluation
This repository contains a simple chatbot evaluation package which can be used to score chatbots using a dataset of predefined and rated chat sessions.
computer_vision_udacity
My personal notes taken while following the Udacity Computer Vision Nanodegree.
course_compilation
This is the compilation of most of the courses I have done. I collect certificates, links to repositories, guides, projects, etc.
data_science_udacity
My personal notes, code and projects of the Udacity Data Science Nanodegree.
data_structures_algorithms_udemy
This repository contains a compilation of algorithm & data structure implementations in python. I forked it originally from a repository by J.M. Portilla, who has a Udemy course on the topic: Python for Algorithms, Data-Structures, and Interviews.
design_patterns_notes
Notes on Software Design Patterns: SOLID & Gang of Four in Python.
DesignPatternsWebinar
Materials for the Design Patterns webinar
foundations_management_iese_coursera
My personal notes on the Coursera Specialization by IESE "Foundations on Management".
generative_ai_udacity
My personal notes, code and projects of the Udacity Generative AI Nanodegree.
ml.school
Fork of the code on the cohort-based course "Machine Learning School" by Santiago Valderrama.
mlops_aws
A guide on Machine Learning Operations (MLOps) using AWS. This guide started as a collection of notes after following the cohort-based course "Machine Learning School" by Santiago Valderrama.
open3d_guide
My personal guide to the great Python library Open3D.
python_interviews
Data structures, algorithms, software design & Co. in python.
python_software_engineering
This repository contains a guide of Python tailored to professional Software Engineering, covering aspects like Data Structures, Algorithms, Design Patterns & Co.
simple_web_app_test
This repository contains a simple web app with a SQLite databse used to test cloud deployment functionalities.
sparkify_customer_churn
This project analyzes and predicts customer churn of a music streaming service using Spark on a large dataset.
voxel_point_collision_detection
Collision detection between voxelized and point-sampled objects following the Voxelmap Pointshell Algorithm by McNeely et al.