Cinema-Tickets
收藏OpenML2022-03-23 更新2024-05-23 收录
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Context
Cinema industry is not excluded of getting advantage of predictive modeling. Like other industry it
can help cinemas for cost reduction and better ROI. By forecasting sale, screening in different location could be optimized as well as effective market targeting and pricing.
Also historical data of sale and movies details e.g. cost, cast and crews, and other project details like schedule, could help producers to select high performance cast and crews and planning for better projects ROI . Also it helps to assign screening location on hot spots and areas.
Content
About eight months sales history of different cinemas with detailed data of screening , during 2018 with encoded annonymized locations .
Starter Kernels EDA , Temporal Feat Eng and XGBoost
Inspiration
Time series analysis
Cinema Clustering
Forecast sales for each cinema
Recommendation:
Movie genre recommendation for cinemas
Cinema location recommendation
Cast and crew ratings
创建时间：
2022-03-23
