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Daniel Andrade's Projects

cortex icon cortex

Deploy machine learning models in production

dbt-core icon dbt-core

dbt enables data analysts and engineers to transform their data using the same practices that software engineers use to build applications.

dsnd_term2 icon dsnd_term2

Contains files related to content and project of DSND Term 2

easyocr icon easyocr

Ready-to-use OCR with 40+ languages supported including Chinese, Japanese, Korean and Thai

image_prediction_app icon image_prediction_app

An app (streamlit) for predicting a car view/frame with Deep Learning (with full training code).

ktrain icon ktrain

ktrain is a Python library that makes deep learning and AI more accessible and easier to apply

nlp_app icon nlp_app

NLP app built with streamlit for demo purposes. Includes: NER, Text Summarization, Automated Keyword Extraction, Anonymization, etc. [available here: http://nlp-demos-app.herokuapp.com / https://nlp-demos-app.azurewebsites.net/]

open_data_gov icon open_data_gov

Projects, web scraping and other stuff related to Governmental Open Data.

product_matching_lsh icon product_matching_lsh

Product matching from text descriptions, mainly to give an example of Local Sensitivity Hashing, while exploring spaCy features.

queue_theory_dash_app icon queue_theory_dash_app

A simulation Dash app that was created to explore the outputs of the Queue Theory in a user-friendly way.

simulation_package icon simulation_package

A simulation package based on the python Ciw package, that was created to simplify its use for a specific use case.

social_media_text_classification icon social_media_text_classification

Creating models to detect harmful social media comments (classification problem), while applying some NLP techniques. Included: BERT (best results), NBSVM (most efficient), Random Forest, Bi-LSTM

unet icon unet

unet for image segmentation

urban-data-science icon urban-data-science

Course materials, Jupyter notebooks, tutorials, guides, and demos for a Python-based urban data science course.

yay-or-nay-app icon yay-or-nay-app

Machine Learning + Deployed App in Heroku (with some analysis over Jupyter Notebook). App: https://yay-or-nay-app.herokuapp.com

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