The demo concludes by using the trained model to make a gender prediction for a new, previously unseen person. The new person is age 33, from Nebraska, has an income of $50,000 and is a political ...

I use Python 3 and Jupyter Notebooks to generate plots and equations with linear regression on Kaggle data. I checked the correlations and built a basic machine learning model with this dataset.

The demo uses a program defined hyperbolic tangent static function, which is essentially a wrapper around the built-in Python math.tanh function. The hidden node activation function is hard-coded. For ...