Encoding categorical data is the process of transforming categorical data into integer format so that data with converted categorical values can be fed into various models.
All input and output variables in machine learning models must be numeric. This means that if your data is categorical, you'll need to convert it to numbers before fitting and evaluating a model.
Encoding is a method of turning categorical variables to numerical values so that a machine learning model may be easily fitted to them. Before we go into the details, it's important to grasp the many sorts of categorical variables.
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Rishu Shrivastav
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explained everything in detail. I have a question learnvern provide dataset , and ppt ? or not?
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VIKAS CHOUBEY
5
very nicely explained
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Vrushali Kandesar
5
Awesome and very nicely explained!!!
One importing thing to notify to team is by mistakenly navie's practical has been added under svm lecture and vice versa (Learning Practical 1)
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Mohd Mushraf
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Amazing Teaching
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Juboraj Juboraj
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Easy to understand & explain details.
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Joydeb
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Awesome Course sir and your teaching style is very GOOD.
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Shaga Chandrakanth Goud
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Hi Kushal ji, Thanks a lot for a very good explanation. I have doubts about where we can get the dataset that you explained in the video. Can you make it available in resource ,so that we can downld
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Neel Khairnar
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Kushal is very good explainer he is covering all topics nicely 👍
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