This repository represents some of my data science projects that I did in my freetime - often to learn new skills, domains and libraries. More to come - currently, I am focused on my master's thesis and work.

Projects mostly contain an explorative data analysis (EDA) and sometimes modelling with different libraries.

• Python for Data Analysis by Wes McKinney: Numpy, Pandas and Matplotlib
• Introduction to CNNs with Tensorflow and Keras: CNNs, Training and Prediction
• Timeseries - Australian Drug Sales: EDA
• Timeseries - Germany's Energy Consumption: EDA and Time Modelling with FB-Prophet
• Hotel Cancellation Data: EDA and Feature Engineering
• Titanic Dataset: EDA
• Wine Quality: Using R for descriptive Data Analysis

I plan on extending my data science project portfolio with further machine learning, deep learning and big data (Spark, Hadoop) projects.