One Hot Encoding | Handling Categorical Data | Day 27 | 100 Days of Machine Learning
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One Hot Encoding | Handling Categorical Data | Day 27 | 100 Days of Machine Learning
One Hot Encoding is a method to convert categorical data into a binary matrix, addressing the challenges posed by categorical variables in machine learning models. Code used: https://github.com/campusx-official/100-days-of-machine-learning/tree/main/day27-one-hot-encoding ============================ Do you want to learn from me? Check my ...
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