What is One Hot Encoding? Why and When Do You Have to Use it? | Hacker Noon

What is One Hot Encoding? Why and When Do You Have to Use it? | Hacker Noon

One hot encoding is a process by which categorical variables are converted into a form that could be provided to ML algorithms to do a better job in prediction.

One hot encoding is a process by which categorical variables are converted into a form that could be provided to ML algorithms to do a better job in prediction.

So, you’re playing with ML models and you encounter this “One hot encoding” term all over the place. You see the sklearn documentation for one hot encoder and it says “ Encode categorical integer features using a one-hot aka one-of-K scheme.” It’s not all that clear right? Or at least it was not for me. So let’s look at what one hot encoding actually is.

Read more: https://hackernoon.com/what-is-one-hot-encoding-why-and-when-do-you-have-to-use-it-e3c6186d008f

one-hot-encoding machine-learning algorithm

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