This collection features practical implementations of use cases, guiding you through the process of building, training, and evaluating regression models and advanced model fine tuning techniques.

Data science Machine Learning 🤖 It is normal repo of my research and work perfomed on data science and machine learning during my internshipGoogle 🔥

A comprehensive NLP project using Azure AI Language service for custom text classification, integrated with Azure Blob Storage and containers. This project includes features for single-label classification, data labeling, and seamless model configuration through Language Studio, optimizing deployment efficiency.

Biblioteca para manipulação de modelos de Redes Neurais

The project facilitates dataset partitioning and model training for eye diseases using various CNN models. Users can customize parameters and inspect results, aiding in model comparison and prediction evaluation.

An application that shows the nutritional values of a food with just a photo.

Finetune GPT default model with your own custom datasets using OpenAI SDK - NodeJS

Analyzing simple text with sentiment classification and finding named entities (NER)

Ensemble Learing + Feed Forward Neural Network + Reccurent Neural Network + avoid Overfiting

Codes from the book Aurélien Géron - Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow_ Concepts, Tools, and Techniques to Build Intelligent Systems-O'Reilly Media (2022)

A deep learning model package which help in training the deep learning model, for image classification.