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.
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.