Pinned Repositories
ArmyManager
School Project: Army Manager
Binary-Tree
data_2.08_activities
data_2.09_activities
final-project
Analysis of paper shortage in 2022 using UN data, forest and COVID data. Includes visualization, modeling, and prediction of paper prices.
GlueHome
A containerized .NET Core application with a RESTful API for managing deliveries, utilizing MongoDB and RabbitMQ, with user authentication and authorization.
IronKaggle
This repository contains the code for a sales prediction model developed by analyzing and cleaning data from IronHack. Several algorithms were compared in order to build the best possible model for predicting sales.
mid-bootcamp-project
A data analysis project on the most popular podcasts on Spotify in Germany in December 2022, including scraped data, cleaned and enriched data, a Jupyter notebook, and images for a Tableau presentation.
spotify-song-recommender
This project is a Spotify song recommender built with Streamlit. Given a user-selected song, the recommender suggests a song based on its cluster.
technical_challenge_DA
fabio1623's Repositories
fabio1623/mid-bootcamp-project
A data analysis project on the most popular podcasts on Spotify in Germany in December 2022, including scraped data, cleaned and enriched data, a Jupyter notebook, and images for a Tableau presentation.
fabio1623/final-project
Analysis of paper shortage in 2022 using UN data, forest and COVID data. Includes visualization, modeling, and prediction of paper prices.
fabio1623/spotify-song-recommender
This project is a Spotify song recommender built with Streamlit. Given a user-selected song, the recommender suggests a song based on its cluster.
fabio1623/GlueHome
A containerized .NET Core application with a RESTful API for managing deliveries, utilizing MongoDB and RabbitMQ, with user authentication and authorization.
fabio1623/Hypothesis_Testing
fabio1623/IronKaggle
This repository contains the code for a sales prediction model developed by analyzing and cleaning data from IronHack. Several algorithms were compared in order to build the best possible model for predicting sales.
fabio1623/lab-customer-analysis-round-2
fabio1623/lab-imbalanced-data
fabio1623/lab-predictions-logistic-regression
fabio1623/lab-unsupervised-learning-intro
fabio1623/technical_challenge_DA
fabio1623/all-about-cocktails
Solution for Cocktails enrichment
fabio1623/fabio1623
fabio1623/lab-api-wrappers
fabio1623/lab-case-regression
fabio1623/lab-cleaning-categorical-data
fabio1623/lab-cleaning-numerical-data
fabio1623/lab-comparing-regression-models
fabio1623/lab-feature-engineering
fabio1623/lab-handling-data-imbalance-classification
fabio1623/lab-macros-intro
fabio1623/lab-nlp
fabio1623/lab-random-forests
fabio1623/lab-random-variable-distributions
fabio1623/lab-revisiting-machine-learning
fabio1623/lab-t-tests-p-values
fabio1623/lab-web-scraping-multiple-pages
fabio1623/lab-web-scraping-single-page
fabio1623/weather_data_insights
fabio1623/Working-With-APIs
Using public APIs