基于Python的数据可视化方法和系统实现  

Data Visualization Method and System Implementation Based on Python

作　　者：黄琪 Huang Qi(School of Computer Science, University of Nottingham, Ningbo Zhejiang 315100, China)

机构地区：[1]诺丁汉大学计算机科学学院

出　　处：《信息与电脑》2019年第14期137-140,共4页Information & Computer

摘　　要：数据可视化分析能够让人们从纷繁复杂的数据中获取有价值的信息,同时,利用机器学习方法能让人们利用已有数据,科学、合理预测未知数据。基于Python的数据可视化方法和机器学习进行设计,运用数据清洗和可视化等技术,对预处理后的数据进行数据集划分、特征工程、预估器流程和模型评估,利用Scikit-learn机器学习库和LightGBM库分析房价,得到房价规律。Data visualization analysis can enable people to obtain valuable information from complex data. Meanwhile, machine learning can enable people to use existing data to predict unknown data scientifically and reasonably. Based on Python's data visualization method and machine learning, data cleaning and visualization technology are used to divide the pre-processed data into data sets, feature engineering, predictor flow and model evaluation. Scikit-learner machine learning library and LightGBM library are used to analyze house price and get the law of house price.

关 键 词：PYTHON 机器学习 Anaconda Scikit-learn 

分 类 号：TP311.5-4[自动化与计算机技术—计算机软件与理论]