Python Data Structures and Algorithms

Hello classifier

To invoke the blessing of the programming gods in our quest to understand machine learning, we begin with an hello world example of a text classifier. This is meant to be a gentle introduction to machine learning.

This example will predict whether a given text carries a negative or positive connotation. Before this can be done, we need to train our algorithm (model) with some data.

The naive Bayes model is suited for text classification purposes. Algorithms based on naive Bayes models are generally fast and produce accurate results. The whole model is based on the assumption that features are independent from each other. To accurately predict the occurrence of rainfall, three conditions need to be considered. These are wind ...