Vergleiche die gemessene Pollenbelastung mit deinem Befinden und bekomme damit deine Allergie in den Griff.
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Updated
May 16, 2017 - R
Vergleiche die gemessene Pollenbelastung mit deinem Befinden und bekomme damit deine Allergie in den Griff.
Server for the SESC timetable application
Dokumentiere unerwartete Ereignisse (z.B. Verspätung des Zugs, Netzwerkausfall oder ähnliches)
Mit der dieser App können eigene Kontodaten gesammelt und ausgewertet werden - Mobile Version.
Data Mining of tweets withe MongoDB and Twitter API
20 week collaborative capstone project advised by Intel Telemetry
Raspberry Pi program for air monitoring
Open Data Explorer (ODE) is a generic and end-to-end tool which helps users through the different data storytelling stages.
Predicting if the first stage of the SpaceX Falcon 9 rocket will land successfully. SpaceX advertises Falcon 9 rocket launches on its website, with a cost of 62 million dollars; other providers cost upward of 165 million dollars each, much of the savings is because SpaceX can reuse the first stage.
pt-BR –– Dados e scripts do R da minha monografia sobre "Mineração de Textos no Twitter: Aprendizado de Máquina para Classificação da Opinião Política dos Usuários".ㅤ ㅤㅤㅤㅤㅤㅤㅤㅤ ㅤㅤㅤㅤen-US –– Data and R scripts from my undergraduate thesis about "Data Mining in Twitter: Machine Learning for the Users' Political Opinion Classification".
A QR Code Based Scouting System for FRC
Sentipoll is an open source tool used for local collection of group answers.
This repository contains my capstone project for the IBM Data Science and Machine Learning Professional Certificate program. The project showcases my skills in data science and machine learning, including data collection, preprocessing, analysis, and modelling. The goal of the project is to solve a real-world problem using data-driven techniques.
Knowledge Base Data Collection and Preprocessing Framework with Flask
This project aims to analyze the influencer journey of Robin Sharma, focusing on his social media activities across YouTube, LinkedIn, and Instagram. By extracting data using the YouTube API and manually collecting data from LinkedIn and Instagram, we provide a detailed analysis of his posts, engagement, and costs.
8-week workshop including database connectivity, data collection, Spark-powered data cleansing, Data Lakes and Cloud Computing integration, Automated Data Pipelines with Apache Airflow, Data Warehouses, and Data Visualizations.
Final Project in Technion's Data Collection Lab (094290)
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