sc0v0ne's repositories
AmazonSageMakerCourse
In this AWS Machine Learning Specialty Course, You will gain first-hand experience on how to train, optimize, deploy, and integrate ML in AWS cloud. Learn how to use AWS Built-in SageMaker algorithms and AI, How to Bring Your Own Algorithm, Zero Downtime Model Deployment Options, How to Integrate and Invoke ML from your Application, Automated Hyper
-All-Algorithms-implemented-in-Rust-
All Algorithms implemented in Rust
AI-Discipline-Work
AI Discipline Work - Movie recommendation
Application-Mobile-Rick-Morty
Final work of the mobile discipline, objective of creating an application adding to the previous tests given in class
Application-Mobile-Rick-Morty-Firebase
Create an application that contains a login and registration screen using FirebaseAuthentication. At least 4 screens must be created, one screen being the Assessment 1 app and another screen the Assessment 2 app.
article_apply_test_in_jupyter_notebook
Article apply test in jupyter notebook
article_oop
This repository I created to post the codebook for my blog talking about object orientation, I created this blog as a hobby to post different subjects that I'm learning in the path of technology. I hope I can help you understand. Any code or text errors please do not hesitate to return.
communicate_between_containers
Create a volume between two containers
bbox-visualizer
Make drawing and labeling bounding boxes easy as cake
Discipline-Mobile-Assessment
Mobile development test using react-native framework. Granbery Methodist College
ExploreNeuralNetworks
Explore Neural Networs
First-Discipline-Mobile-Assessment
An application with the Lucky Balloon theme must be created. The objective is to find a balloon that should display a searched phrase.
from-python-to-numpy
An open-access book on numpy vectorization techniques, Nicolas P. Rougier, 2017
Method-Replace-Inline-Code-With-Function-Call
The Replace Inline Code with Function Call method demonstrates functions as code improvements.
os_cheese_bread
Development environment setup
pytorch-deep-learning
Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
streamlit-example
Example Streamlit app that you can fork to test out share.streamlit.io
tensorflow-deep-learning
All course materials for the Zero to Mastery Deep Learning with TensorFlow course.
tuning_playbook
A playbook for systematically maximizing the performance of deep learning models.
tutorial_tool_marp
This repository was created for the development of the article
zero-to-mastery-ml
All course materials for the Zero to Mastery Machine Learning and Data Science course.