KndHvH

codeswap

This is a program that aims to store text and sensitive information locally in an easy and secure way. It mainly uses Python and some encryption methods.

deploy-auto-ml-docker-compose

This project uses docker-compose to manage the deployment of a ML model trained on weather data. The app allows users to input weather data and receive a prediction for the weather condition. The app also stores user queries in a PostgreSQL database for later analysis.

dataframe-generator

This is a tool that allows you to create fictional data in an extremely customizable way. With it, you can choose the number of rows and columns you want to generate, as well as edit the type of each of the columns.

movie-recommendator

The Movie Recommender is a comprehensive system designed for efficient and personalized movie recommendations. This project showcases how TF-IDF, KNN, data scraping, and advanced models like GPT can revolutionize the movie recommendation experience.

api-kubernetes

automl-cv-damaged-crop-detector

CheckCyber-VerificadorPFA

deploy-auto-ml-ousadia

This GitHub repository hosts a Machine Learning project developed as part of a course at FIAP. The project's objective is to deploy an AutoML model, simulating an Ifood case, using PyCaret and Streamlit.

feedbackcalculator

formula1-docker-fastapi-streamlit

This project is an API-based app using FastAPI to provide Formula 1 race stats. It fetches data, stores in PostgreSQL via Docker, and offers endpoints for results, drivers, and teams. Frontend is included. Aimed for learning and exploration.

KndHvH/study

This repository serves to store the learning from all the courses I have taken, all the notes, projects, codes, and exercises.

KndHvH/python-etl-model

KndHvH/mba-deeplearning-iad-006-2024-public

KndHvH/kubernetes-api-with-github-action-and-azure

This template is a API application, containerized with Docker for easy deployment and scalability managed by Kubernetes. Code functionality is ensured through automated tests run by GitHub Actions upon each commit, and the application is hosted on Azure.

KndHvH/formula1-docker-fastapi-streamlit

This project is an API-based app using FastAPI to provide Formula 1 race stats. It fetches data, stores in PostgreSQL via Docker, and offers endpoints for results, drivers, and teams. Frontend is included. Aimed for learning and exploration.

KndHvH/movie-recommendator

The Movie Recommender is a comprehensive system designed for efficient and personalized movie recommendations. This project showcases how TF-IDF, KNN, data scraping, and advanced models like GPT can revolutionize the movie recommendation experience.

KndHvH/api-kubernetes

KndHvH/panzercheat

KndHvH/automl-cv-damaged-crop-detector

KndHvH/dataframe-generator

This is a tool that allows you to create fictional data in an extremely customizable way. With it, you can choose the number of rows and columns you want to generate, as well as edit the type of each of the columns.

KndHvH/deploy-auto-ml-docker-compose

This project uses docker-compose to manage the deployment of a ML model trained on weather data. The app allows users to input weather data and receive a prediction for the weather condition. The app also stores user queries in a PostgreSQL database for later analysis.

KndHvH/deploy-auto-ml-ousadia

This GitHub repository hosts a Machine Learning project developed as part of a course at FIAP. The project's objective is to deploy an AutoML model, simulating an Ifood case, using PyCaret and Streamlit.

KndHvH/codeswap

This is a program that aims to store text and sensitive information locally in an easy and secure way. It mainly uses Python and some encryption methods.

KndHvH/kndhvh.github.io

KndHvH/CheckCyber-VerificadorPFA

KndHvH/feedbackcalculator