Gabriel Tardochi Salles's Projects
Full stack machine learning recommender system using metaflow, airflow, s3, postgres
Analysing the BOVA11 exchange-traded fund stocks composition and behaviour during a set period of time.
Repo to store my already completed Data Science projects at DataCamp. They tackle various different topics, such as Machine Learning, Data Cleaning, Data Analysis, etc.
Visualizing World Immunization Predictions in a cool Map. Medium Article: https://medium.com/@gabrieltardochi/22c574e630cc
Deep Neural Network (ChatBot) deployed on heroku. Chat with It here (might take a few seconds to load): https://nlp-food-delivery-chatbot.herokuapp.com/
Leverage Metaflow, PyTorch, AWS S3, Elasticsearch, FastAPI and Docker to create a production-ready facial recognition solution. It demonstrates the practical use of deep metric learning to recognize previously unseen faces without prior training.
Code for the Cornell Birdcall Identification competition
Fully functional Metaflow metadata service, UI and datastore deployment with docker and docker-compose.
Fine tuning BERT Model to classify movie reviews positivism.
Code to support my medium article (https://medium.com/@gabrieltardochi/274771d0709a) about how we can scale semantic similarity search with FAISS and GPUs.
Generic template to bootstrap your PyTorch project.
Classical math algorithms implemententations on code.
A customer satisfaction analysis on brazilian e-commerce data using DeepLearning and visualization tools.
Applying cohort analysis, RFM segmentation and Machine Learning to Cluster customers and extract insights from their personas. Using ALS Algorithm to build a recommender system as well.
Deep Learning image classification on the famous CIFAR10 dataset.
SuperTriplets - Torch Supervised Metric Learning with Batch Hard Triplets Toolbox
Advanced language transformers fine-tuning methods to recognize fine-grained emotions using the GoEmotions dataset.