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bart-fine-tuning-reddit-questions

Explore deep learning for long-form QA using Sparse Retriever & BART. Fine-tuned on ELI-5 & AskHistorians/AskScience subreddits, compare results using ROUGE. 3 models available: BartEli5 (pre-computed weights), BartAskScience, and BartAskHistorians.

cbs_aws

dash_mobility

dtu_mlops

Exercises and supplementary material for the machine learning operations course at DTU.

edgedb

A graph-relational database with declarative schema, built-in migration system, and a next-generation query language

forecasting-bitcoin-transactions-using-sarima

The purpose of this repository is an end-to-end guide on how to make predictions using ARIMA (SARIMA and SARIMAX), in this case I predicted the volume of bitcoin transactions during 2013 to 2021, achieving satisfactory results.

geospatial-analysis--of-the-crimes-in-san-francisco

This project aims to understand the crimes that occurred in the city of San Francisco, several methods were applied and thus several insights into the types and places of crimes were committed

mlops_mnist

mlops_steam_reviews

MLOPS for Steam Reviews Sentiment Analysis. Python & PyTorch used to classify reviews as positive/negative. Implements version control, testing, CI/CD with Travis CI, Docker, GCP.

new-york-water-complaints

This repository is a New York City public policy prioritization study where we analyzed over 50 million complaint lines involving water, quality and market value of real estate within the city.

pyspark_airbnb

In this project I investigate the AirBnB public database to collect findings of listings and prices in various cities around the world. Furthermore the repository uses Apache Spark functions for Python due to the volume of data available.

recommender-system-tmdb

This repository explains in depth optimization functions and a step by step how to set up a movie recommendation system using base inputs to promote similar movies to users

simmobility_viz

social_networks

the-algorithm

Source code for Twitter's Recommendation Algorithm

website

wsa