Forecasting Criminal Activity in San Francisco using XGBoost and Python

I recently came across an interesting Kaggle contest that involves predicting different types of criminal activity in San Francisco. As you can imagine, in a massive city like San Francisco, numerous crimes happen every day. Crime statistics distinguish between 39 … Continued

Simple Sentiment Analysis using Naive Bayes, Logistic Regression and python

In this article, we develop a classification model in Python that analyzes the sentiment of Twitter comments. We will train different classification models using Naive Bayes and Logistic Regression. Similar models are now increasingly employed in a business context. They … Continued