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Name: Klismam Franciosi Pereira
Type: User
Bio: Hello, I use Python and R to apply Data Science and Analysis. I'm also interested in photography.
Location: Porto, Portugal
Name: Klismam Franciosi Pereira
Type: User
Bio: Hello, I use Python and R to apply Data Science and Analysis. I'm also interested in photography.
Location: Porto, Portugal
Repository made to learn web development tools
Another personal CV, with more CSS and HTML elements.
This repository contains jupyter notebooks with the analysis and application of regression and classification techniques to the ENEM 2016 dataset, which contains students' informations as well as their grades.
Data from this kaggle page - https://www.kaggle.com/mchirico/montcoalert - was used to extract some information. This exercise is based on the "Python for Data Science and Machine Learning Bootcamp" from John Portilla, at Udemy
Project using bank stock values from 2006 to 2016 meant to exercise the use of Python libraries - Pandas, Numpy, Matplotlib, Seaborn and Plotly
This project's objective was to "tidy" the original data tables using knowledge acquired during the Getting and Cleaning Data MOOC, by the Johns Hopkins University, available on the Coursera platform (<https://www.coursera.org/learn/data-cleaning/home/welcome>). The data used in this project was generated in a study entitled "Human Activity Recognition on Smartphones using a Multiclass Hardware-Friendly Support Vector Machine" (IWAAL 2012). The study involved the measurement and process of 3-axial linear accelerations and 3-axial angular velocities obtained through the accelerometer and gyroscope of a smartphone. The device was attached to the volunteers' waist, which were asked to perform 6 activities while being recorded - walking, walking upstairs, walking downstairs, sitting, standing and laying. For more information on the study: <http://archive.ics.uci.edu/ml/datasets/Human+Activity+Recognition+Using+Smartphones>.
Simple repository with useful git information and tips
Recommend leads to a user given his current client portfolio with a Content-Based Filtering Recommender System based in Logistic Regression. Created as final project to the acceleration in Data Science by Codenation.
Extention of Stream-based recommender system library (https://github.com/joaoms/streamRec) with code to create checkpoints of factorization models and evaluate forgetting.
In this project I analyze and process the Monthly Mean Total Sunspot Number in order to evaluate ARIMA and ES model regarding a twelve months forecast metrics against test data.
This website was made as an exercise from the "Complete Web Development Bootcamp" course, at Udemy.
WebApp created to manage Isomeria Chemical Solutions colaborators activities
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.