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One-hot encoding is a crucial technique in data preprocessing that transforms categorical data into a binary format, enabling the application of mathematical and statistical analyses like correlation on these categories. This process is essential for incorporating categorical variables into machine learning and statistical models, enhancing their capacity to uncover valuable insights and patterns in the data.
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Watch video Python Data Analysis Bootcamp class 7 - 09 One Hot Encoding in Pandas with Python online without registration, duration hours minute second in high quality. This video was added by user Data Science Teacher Brandyn 01 January 1970, don't forget to share it with your friends and acquaintances, it has been viewed on our site 21 once and liked it 3 people.