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. Not surprisingly, in a huge city like San Francisco, numerous crimes occur daily. Among the most commonly reported are vehicle theft, … Continued

Simple Sentiment Analysis using Naive Bayes and Logistic Regression

Sentiment Analysis refers to the use of Machine Learning and Natural Language Processing (NLP) to systematically detect emotions in text. In recent years, sentiment analysis found broad adoption across industries. One reason for its popularity is, that it is increasingly … Continued