A repo of data science projects completed for educational purposes, fun, and practice. All projects were completed using Jupyter Notebooks and Python and exported to html and uploaded here.
A more visually and aesthetically pleasing experience can be found here. The web page design was made possible by the generocity of @ajlkn and HTML5 UP.
Compressive strength of concrete: a demonstration of how pipelines from the scikit learn library can be used to quickly examine multiple out-of-the-box algorithms and choose the best performing one for further fine tuning.
Diabetes prevalence: can you always rely on p-value of hypothesis testing to make judgements? This is a useful demo of effect size and why it matters.