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.
This one is one of the best online free source to study the coding or any particular course.
H
happy
4
Course is nice but where is the link for installation of Anaconda
D
Digvijay Kewale
4
Course is good understandable but I am not able to download resources (one star less only for this not able to download resources)
S
Shivendra Shahi
5
I am impresses by the way of teaching, what a magical teaching skill he has.
S
Sandeep Kumar
5
good content with free of cost
Sucheta Kumari
5
Course content and explanation method is just awesome. I like the way they presenting and specially at the end of each video content they feeding next intro content which makes motivated, excited .
Share a personalized message with your friends.