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Autodidactic sandbox

This workspace contains practice problems and solutions, models, visualisations, and other learning materials. The subjects covered include linear algebra, statistics, algorithms, data structures, data visualisation, and machine learning.

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The code in this repository is written in Python, using Jupyter Notebooks. I use a number of well known packages and APIs including Numpy, Pandas, Matplotlib, Seaborn, Scikit-Learn, Tensorflow and Keras.

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This workspace contains interesting problems and solutions, models, visualisations, and other learning materials.

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  • Jupyter Notebook 100.0%