Multivariate Datasets: Data Cleaning and Preparation, and Model Development with Python and Machine Learning
商品編號：W31496
出版日期：2023/02/24
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商品來源：
商品主題：Management Science; Marketing
商品類型：Note
涵蓋議題：Dataset with Many Variables;Python;Machine Learning;Data Cleaning and Preparation
難易度：4 - Undergraduate/MBA
內容長度：13 頁
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事件年度：2022
Data cleaning, data preparation, and model development are the crucial steps in data analytics. The first two steps aim to improve data quality for higher accuracy, improved productivity, and better efficiency in modelling and obtaining results. The last step, model development, seeks to improve accuracy of prediction, especially in predictive modelling. In this technical note, we use a sample to illustrate how to work with a multivariate dataset in Python. This dataset’s massive number of variables requires different approaches to data cleaning, preparation, and model development, such as data normalization and dimension reduction.
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