El presente repositorio contiene el código que utilicé para realizar mi investigación de tesina: PREDICCIÓN DE LA INFLACIÓN MEXICANA EN TIEMPOS DE INCERTIDUMBRE: UNA EVALUACIÓN DE MODELOS DE APRENDIZAJE DE MÁQUINA Y SU IMPACTO EN LA PRECISIÓN DEL PRONÓSTICO (Erik Rosas, 2023).

Helper to automate Cloud AutoML (vision) operations

This repository contains code and dataset for for the research work "An Empirical Study of the Challenges of Using Low Code Software for Machine Learning"

Predicting stock and cryptocurrency prices in R

Algorithm for prediction which customer will repay credit loan with 0.79 ROC AUC.

This project aims to predict bike sharing demand with AutoGluon

Projects Implemented for the AI Product Manager Nanodegree Program

Automated Machine Learning

Training, deploying and consuming an AutoML model in Azure, and creating a pipeline with the Azure Python SDK.

Model selection and deployment for predicting customers' acceptance rate for opening a bank deposit. Solved using Azure ML.

Research done for a survey paper on Neural Architecture Search

An auto-model for Bike Sharing Demand competition using AutoGluon

Credit Card Fraud Detection using PyCaret AutoML

Customer churn is an important aspect for any business, it gives them insights about their prospective customers. In this tutorial we will be predicting customer churn of car owners. We will be utilizing Watson data refinery to alter our data, and then use AutoAI to rapdliy develop a classfication machine learning model in a matter of minutes an…

Analyze Datasets and Train ML Models using AutoML https://www.coursera.org/learn/automl-datasets-ml-models

Using FLAML to build a ML model for predicting University Admission chances

A knowledge base for AI research in addiction

Basic EDA, Model