Data Science

  • Classify your Dog’s Breed or Find your Barking Twin: My Journey into Neural Networks

    Introduction Do you know those dog people, who know everything about their pawed companion and can tell the breed of every dog they meet, when going for walk? I do definitely not belong to these people. For me, some dogs look more similar than others to each other, but I would never be sure about…

  • Personalize Your Content Feed: Building a Recommendation Engine for Articles on the IBM Watson Studio platform

    Do you also know the moment, when an online recommendation almost exactly matches with products, that you have talked about in the last minute? Scary at first glance… But if online recommendations really match the interests of users, they may simplify the searching process and enhance the user experience of websites and platforms a lot.…

  • Taming the Flood of Messages: The Power of NLP in Categorization

    Can you remember the flood of mails you encountered on the first day after your last vacation? Sometimes it takes days to work through the mountains of mails. Now imagine, that there would be someone, who categorizes all mails into a set of predefined categories for you. This makes the bunch of mails less overwhelming,…

  • Understanding Airbnb Prices: Insights for your next Trip

    Price relations and patterns of Airbnb listings in Seattle, Washington Introduction Have you ever asked yourself about the factors linked to higher renting prices? When I usually search for my next holiday accomodation, I begin by entering the number of persons, bedrooms and a downside rating threshold. Throughout my analysis of the Seattle Airbnb dataset,…

  • Pedaling Through the Numbers: Analyzing San Francisco’s Go Ford Bike Rental System

    As part of my Udacity Nanodegree Course „Data Analyst“, I was provided with a interesting dataset about the Bike Rental System „Go Ford“ in San Francisco and analysed basic user information and their corrensponding bike renting behavior, that might be relevant for marketing purposes. The dataset contains informations about start- and endtime, trip duration, start-…

  • Investigating the Occupation of Heidelberg’s Parking Garages

    Introduction If you’ve ever driven into city centers, you know that the search for a parking spot can be a bit of a challenge, especially in the heart of the city. Like many people, I’ve circled through the winding streets, hoping to stumble upon an open space in one of the parking garages. To keep…