How to interpret the confusion matrix

As a practical demonstration of how the confusion matrix works, lets load up the Wisconsin Breast Cancer dataset, create a classification model and examine the confusion matrix to see how...

How to impute missing numeric values in your dataset

As models require numeric data and don’t like NaN, null, or inf values, if you find these within your dataset you’ll need to deal with them before passing the data...

How to engineer date features using Pandas

When dealing with temporal or time series data, the dates themselves often yield information that can vastly improve the performance of your model. However, to get the best from these...

How to create a Python virtual environment for Jupyter

When you use pip to install Python packages from The Python Package Index (PyPi) they get stored in your site-packages directory and are used across your system whenever you run...