Tutorial: Handling missing categorical data with Python, Pandas and Scikit-Learn

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Codificando Bits

Published on Premiered Sep 25, 2023
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🔥🔥Online Academy: https://codificandobits.com/ 🔥🔥 🔥🔥Personalized advice and training: https://codificandobits.com/servicios/ 🔥🔥 In this tutorial we are going to see the main techniques to handle missing data when the data we want to complete is categorical. Download link for the code and dataset for this tutorial: https://www.codificandobits.com/blog/... Content: 00:00 Introduction 00:37 Online Academy 00:54 The dataset 09:14 Delete rows with missing data 12:11 Delete column with missing data 13:14 Impute with the most frequent category 16:52 Impute with Machine Learning 33:22 Conclusion 🔴 ** VISIT WWW.CODIFICANDOBITS.COM ** On the website you will find online courses as well as articles and useful material on Data Science and Machine Learning. You can also contact me if you are interested in training services, talks or advice. 🔴 ** RELATED VIDEOS ** 🎥 Exploratory data analysis tutorial: • Tutorial: EXPLORATORY DATA ANALYSIS... 🎥 Data cleaning tutorial: • Tutorial: DATA CLEANING with Python... 🔴 ** JOIN CODIFICAANDO BITS AND FOLLOW ME ON MY SOCIAL NETWORKS ** ✅ Website: https://www.codificandobits.com ✅ Subscribe: https://www.youtube.com/c/codificando... ✅ Facebook: /codificandobits ✅ Instagram: /codificandobits ✅ Twitter: /codificandobits 🔴 ** ABOUT ME ** I am Miguel Sotaquirá, the creator of Codificando Bits. I have a background as an Electronic Engineer, and a PhD in Bioengineering, and since 2017 I have become passionate about Machine Learning and Data Science, and currently I am fully dedicated to disseminating content and providing advice to people and companies on these topics. 🔴 ** ABOUT CODIFICAANDO BITS ** The goal of Codificando Bits is to inspire and disseminate knowledge in the areas of Machine Learning and Data Science. #machinelearning

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