Snow Storm's repositories
airflow-ml-prediction
Running ECS task for ML prediction orchestrated by Airflow
dashboardapp-daily-report
A dashboard web application for building your own daily report.
energy-forecast
The repository consists of an energy forecasting model using XGboost. The dataset consists of hourly energy consumption rates in kWh for an industrial utility.
disaster-webapp
The project consists of a Multi-Label Text Classifier project using a Random Forest Classifier with MultiOuputClassifier from Sklearn.
airbnb-analysis
Data analysis of AirBnb website history in the city of Rio de Janeiro
HeartDisease-Classification
Machine Learning Classification Model
dockerized-application
Dockerizing a web application.
ml-serverless-deploy
Deploying Machine Learning models on AWS using Serverless Framework
zip-dependencies
Shell script to zip python dependencies when uploading them to lambda.
DanielDaCosta
DanielDaCosta/DanielDaCosta is a special repository. Its README.md will appear on your public profile
distributed-file-system
Emulation-based system for distributed file storage and parallel computation
lambda-ssm-ec2
Lambda that executes Shell Script inside EC2 using SSM
ids-deep-belief-networks
An Intrusion Detection System based on Deep Belief Networks
prompt-learning-bias
Apply the newly emerging field of prompt engineering to identify and measure social bias in language models
company-climate-rag-llamaindex
Eco-impact assessment tool using the Llama-Index to process Wikipedia data for query-specific, AI-powered information retrieval and analysis
recommendation-system
The project's goal is to create diverse recommendation systems that predict user-item ratings
crows-pairs
This repository contains the data and code introduced in the paper "CrowS-Pairs: A Challenge Dataset for Measuring Social Biases in Masked Language Models" (EMNLP 2020).
DanielDaCosta.github.io
A beautiful, simple, clean, and responsive Jekyll theme for academics
detoxifying-text-marco
Reproduction study of the paper "Detoxifying Text with MaRCo: Controllable Revision with Experts and Anti-Experts"
FineTunedBERT-Data-Augmentation
Enhance model performance in out-of-distribution contexts using fine-tuned BERT and data augmentation. Comparative analysis showcases efficiency gains with a 40% smaller model.
MarcoDetoxification
Repository for "Detoxification with MaRCo: Controllable Revision with Experts and Anti-Experts"
NeuralTextClassifier-Comparison
From scratch implementation of a custom Multi-Layer Feed-Forward Network. Evaluate its performance across datasets and configurations, comparing with out-of-the-shelf models.
react-complete-guide-code
Code snapshots and materials for our "React - The Complete Guide" course (https://acad.link/reactjs)
Text-Classification-Exploration
Explore text classification with Logistic Regression and Naive Bayes models. Implementing from scratch, we compare feature engineering techniques like Bag-of-Words, TF-IDF, and Word Embedding for accurate labeling
twitter-dataset-socialmediahabits
Twitter dataset to analyze the social media behaviors of individuals propagating misinformation