Crime Prevention in San Francisco using XGBoost and Python

Crime Prediction using XGBoost and Python, sf crime map

This tutorial predicts crime types in San Francisco (SF) and plots them on a zoomable city map. We work with a Kaggle dataset containing past crimes and distinguish between 39 crime types, including vehicle theft, assault, and drug-related activities. We then use Python and Scikit-Learn to train a classification model … Read more

Stock Market Prediction – Adjusting Time Series Prediction Intervals in Python

neural networks time series regression stock market prediction python tutorial keras tensorflow

This tutorial shows how to adjust prediction intervals in time series forecasting using Keras recurrent neural networks and Python. We build on a previous article on stock market forecasting, in which we created a forecast for the S&P500 stock market index. The prediction interval used in this previous article was … Read more