PyCaret: Simplifying machine learning workflows with a low-code, open-source Python library.

Sistema de preprocessamento e treinamento de modelos de machine learning utilizando PyCaret. Uma metodologia low-code para processos de MLops

This project aims to provide web application for house price prediction. EDA, model comparison through Pycaret, hyper-parameter tuning and making pipeline model are included. The result is shown as a web application.

AI Makerspace: Blueprints for developing machine learning applications with state-of-the-art technologies.

My journey in data Science - personal website

Build tensorflow keras model pipelines in a single line of code. Now with mlflow tracking. Created by Ram Seshadri. Collaborators welcome. Permission granted upon request.

This repository hosts an ML-Ops project creating a Streamlit web app to predict milk grades. It employs a Random Forest Classifier model, boosted by PyCaret, a low-code ML library. Predictions are based on pH, Temperature, Taste, Odor, Fat, Turbidity, and Color factors.

All the available resources to master MLOPS from scratch

An open-source, low-code machine learning library in Python

🔥 A website showcasing my work

A framework which can caputre information on both the development and operation stages in ML

This repository includes sample code for AutoML tools AutoGluon, AutoKeras, AutoSklearn, H2O, PyCaret, TPOT

AutoML Web Frontend for automated Data Science

Este repositorio fue creado con el proposito de guardar el trabajo realizado por el Dr. Juan Iván Gómez Peralta, mi compañero Luis Arturo Michel Pérez y su servidor, en nuestro projecto de estancia realizado en 2024.

La importancia de reducir el riesgo crediticio ha llevado a una institución financiera alemana a buscar soluciones innovadoras. Como científicos de datos, hemos sido convocados para construir un modelo de machine learning preciso y confiable que sea capaz de evaluar con mayor precisión la probabilidad de incumplimiento crediticio de sus clientes.

House sales : prices prediction website

This is an application that allows you to build an automated ML pipeline using Streamlit

This is a personal project of mine. I decided to do a process of data storing, data manipulation, data analysis & visualizations, feature engineering, model creation/testing, model evaluation, and metrics visualizations.

Belhard data science course home works