Alexis Bañuelos's Projects
Data exploration from MiBici Guadalajara. https://www.mibici.net/es/datos-abiertos/
Example of how to create an emotion recognition using Azure ML studio with a face picture.
My practice on Azure ML about rental bike predictions
Using K-means in Julia
Welcome to "ChatGPT-Sprint" repository. Dive into this sprint challenge to master the foundations of the ChatGPT API and embark on a journey to create a unique tool leveraging its capabilities. For detailed project guidelines, refer to PROJECT.md. Dive in, code, and power up with AI.
Challenge solution from Microsoft ml-basics.
Training a model in Azure Custom Vision that can detect from an image, if the animal is a cow, a cat or a dog.
10 Weeks, 20 Lessons, Data Science for All!
Data Science in Julia course for JuliaAcademy.com, taught by Huda Nassar
Here is the project of data exploration, from the ml-basics Microsoft Challenge. We answered some questions, cleaned data and obtained insights using Pandas, Matplotlib and Statistical Knowledge.
Project of Health Insurance cost prediction using XGBoost in Python
Exploration and machine learning project of House pricing from ml-basics Microsoft Challenge. We explored
Here is my price prediciton project using GLM.jl and comparing with the Gradient decendent ML method and the SKlearn aproach using PyCall.jl
Image classification of handwritting numbers using neural network with Flux.jl in Julia
Project of Iris Classification using decision trees in Julia
Description of the KNN model in Julia, and its implementation in a project
Final project for the MLOPs bootcamp by Wizeline
Notebooks and resources from Microsoft Learn
Project for dimensionality reduction using Principal Component Analysis in a car dataset, and then using k-means to classfied them and compare how good the cluster was.
Katas del curso propedéutico de Python por parte de Innovación.
Example of Rick and Morty API request in python
Solution to the Microsoft ml-basic Challenge. Computer vision classification using Convolutional Neural Networks in Tensoflow.
Serverless Machine Learning Course for building AI-enabled Prediction Services from models and features
This is my Captone project for the Wizeline's ChatGPT-Sprint
Time series forecasting of a supermarket chain sales, train, validate and comparing many model to get the best predictions.
NaiveBayes tennis project.
Aquí iré añadiendo los códigos de Julia y descripciones de mi tesis de maestría
Wine classification solution from ml-basics by Microsoft.