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cfirmo33's Projects

backeasy icon backeasy

Android - DI, DDD, Specification Pattern, Repository Pattern, IoC

backup icon backup

Backup is a RubyGem, written for Linux and Mac OSX, that allows you to easily perform backup operations on both your remote, as well as your local environment. It provides you with an elegant DSL in Ruby for modeling (configuring) your backups. Backup has built-in support for various databases, storage protocols/services, syncers, compressors, encryptors and notifiers which you can mix and match. It was built with modularity, extensibility and simplicity in mind.

bad-robot.framework icon bad-robot.framework

Imagine um programa de computador que, observando a movimentação dos preços de um ativo ao longo do tempo, é capaz de, sozinho, sem interferência humana, determinar a hora de comprá-lo ou vendê-lo.

bandhook-kotlin icon bandhook-kotlin

A showcase music app for Android entirely written using Kotlin language

basic icon basic

Basic Architecture allows you to develop easy

battery-historian icon battery-historian

Battery Historian is a tool to analyze battery consumers using Android "bugreport" files.

beautiful-jekyll icon beautiful-jekyll

Build a beautiful and simple website in literally minutes. Demo at http://deanattali.com/beautiful-jekyll

best-resume-ever icon best-resume-ever

:necktie: :briefcase: Build fast :rocket: and easy multiple beautiful resumes and create your best CV ever! Made with Vue and LESS.

beyondpad icon beyondpad

Notes, boards and lists, templates and forms, tags and other tools for data driven note taking

big-data-instacart-market-basket-analysis icon big-data-instacart-market-basket-analysis

Implemented Random Forest, Gradient Boosted Tree and Decision Tree regression using PySpark and Spark MLlib libraries to get predict the threshold values to determine whether a previously purchased product would be present in a customers future order given certain order related features like order time of day, order day of the week and so on. Also added new features to the training dataset to enhance the model.

bigimageviewer icon bigimageviewer

Big image viewer supporting pan and zoom, with very little memory usage and full featured image loading choices. Powered by Subsampling Scale Image View, Fresco, Glide, and Picasso.

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