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Data Science Hacks consists of tips, tricks to help you become a better data scientist. Data science hacks are for all - beginner to advanced. Data science hacks consist of python, jupyter notebook, pandas hacks and so on.
A classification approach to the machine learning Titanic survival challenge on Kaggle.Data visualisation, data preprocessing and different algorithms are tested and explained in form of Jupyter Notebooks
Robot@Home2 is an enhanced version of the Robot@Home dataset, aimed at improving usability and functionality for developing and testing mobile robotics and computer vision algorithms.
The jupyter notebooks provided in this project while being based on IIIF repositories, extract metadata and images, creating a CSV file representing the dataset as a result. These are examples of exploitation that can serve as a basis for further development.