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

Color-Coded Cryptocurrency Price Charts in Python

The recent rise in the price of Bitcoin and other cryptocurrencies has also led to increased interest in visualizing price trends. In particular, price charts that use color as an overlay have a particular appeal. Such colorful price charts not … Continued

Anyone About to Leave? Predicting Customer Churn of a Telecommunications Provider

Telecommunications service providers face considerable pressure to expand and retain their subscriber base. One of the biggest cost factors are customers cancelling their contracts. Innovative service providers therefore have learned to use machine learning to predict which of their customers … Continued

Will they Buy or just Browse? Predicting Purchase Intentions of Online Shoppers with Python

Many online stores welcome countless visitors every day, but only a fraction of those visitors will actually make a purchase. In this blog, I show how you can use machine learning to predict whether a customer is just browsing the … Continued

Evaluate Time Series Forecasting Models with Python

Time series forecasting models Evaluating the performance of forecasting models is important and a crucial step in their development. This is especially the case for time series forecasting models. Compared to classification models, time series predictions cannot easily be divided … Continued