# Data Science Notebooks Demand intelligence is a new and evolving field. We’ve created a number of Data Science Jupyter Notebooks to help you get started with PredictHQ’s intelligent event data. You’ll find guides to using our API with common Data Science tools, libraries in Python, and code samples.
Forecasts API NotebookUse our new Forecasts API to train a model in a few simple steps and focus on making use of the forecast results. Our API uses the same underlying XGBoost-based algorithm as the following notebook.forecasts-api-time-series-chart.pnghttps://github.com/predicthq/phq-data-science-docs/blob/master/forecasts-api/demand_forecasting_with_phq_forecasts_api.ipynb
Beam NotebooksDesigned to provide you with the context you need to get started with the Beam API to find relevant events and use it effectively.beam-notebook.pngbeam-guides
Features API NotebookA how-to guide with details on how to retrieve machine learning features using Features API.features-api-notebook.jpgfeature-engineering-guide
Demand Forecasting NotebookStep-by-step guide on how to use PredictHQ event features in your existing demand forecasting models.demand-forecasting-notebook.jpgdemand-forecasting-data-science-guides
Attendance-Based Events NotebooksAttended Events are scheduled to occur at a specific location and usually depend on attendance, such as conferences, expos, concerts, festivals, performing-arts, sports and community.attended-events-notebook.jpgattendance-based-events-data-science-guides
Non-Attendance-Based Events NotebooksNon-Attendance-Based Events are events with a start and end date, but are more fluid and distributed in impact, such as observances or school holidays.non-attended-events-notebook.jpgnon-attendance-based-events-data-science-guides
Severe Weather Event NotebooksSevere weather is any dangerous meteorological phenomenon with the potential to cause damage, serious social disruption, or loss of human life.severe-weather-notebook.pngsevere-weather-events-data-science-guides
Academic Events NotebooksAcademic Events are captured from an individual higher education institute’s academic calendar. They outline the general undergraduate activities, for example instruction period, break, exams, graduation, social, etc.academic-events-notebook.jpgacademic-events-data-science-guides
Live TV Events NotebooksLive TV Events covers live broadcast sports games with a large number of people watching at a particular time across different counties across the United States.live-tv-events-notebook.jpglive-tv-events-data-science-guides
Working with Venues NotebookGuide to exploring PredictHQ’s venue information.venues-notebook.pngworking-with-venues
All our Data Science Notebooks can be found in our [GitHub repo](https://github.com/predicthq/phq-data-science-docs/tree/master).