机器学习实战项目：工业蒸汽量预测

# 💨Industrial Steam Prediction Machine Learning Hands-On Project: Industrial Steam Prediction | 机器学习实战项目：工业蒸汽预测 - [Problem Source](https://tianchi.aliyun.com/competition/entrance/231693/introduction) - [Dataset](dataset/) - [Commonly used methods](method/) ## ❓Problem Given the data collected by the desensitized boiler sensor (at a frequency of minutes), predict the amount of steam produced based on the operating conditions of the boiler. 给定经脱敏后的锅炉传感器采集的数据（采集频率是分钟级别），根据锅炉的工况预测产生的蒸汽量。 ## 💻Code - Data Exploration - [Common methods of data exploration](method/data_exploration_method.ipynb) - Feature Engineering - [Common methods of feature engineering](method/feature_engineering_method.ipynb) - [Feature engineering for this problem](feature_engineering.ipynb) - Model Training - [Model Training for this problem](model_training.ipynb) - Model Validation - [Model Validation for this problem](model_validation.ipynb) - Feature Optimization - Model Fusion