Medical Data Cleanser

A graph depicting the correlation between urine and meals.
A graph depicting the R^2 value of age vs. the other numerical data.
A graph depicting the R^2 value of glucose vs. the other numerical data.

We built this dataset and cleaned this algorithm in order to try and help biking. We built it using TensorFlow, Keras, Python, Matplotlib, and Pandas.

Challenges faced: Finding a correlation between our data in order to remove hidden biases.

We graphed correlations of different features present in the data and analyzed the relationship between multiple variables. Depending on the graph, we chose to discard or keep certain pieces of data.

Check out the README on Github for more information!