Episode 3: Handling Categorical Features in Machine Learning Problems @abhishekkrthakur
Episode 3: Handling Categorical Features in Machine Learning Problems  @abhishekkrthakur
Uploaded January 2020 | Updated September 2026, 3 weeks ago
In this episode, I talk about different types of #categorical #variables and handling categorical variable in a given #machinelearning problem. Categorical features is not a vast topic but there are many different approaches and I will be talking about more approaches in upcoming videos.

The framework that we are working on building can be found here: github.com/abhishekkrthakur/mlframework

Please let me know if there is something that I have missed or anything that you would like to be covered in upcoming episodes...
Episode 3: Handling Categorical Features in Machine Learning ProblemsHow to: AI Generated QR Codes (Using Python)Segment Anything + ControlNet + Stable Diffusion = 💥Episode 1.2: Building an inference for the machine learning frameworkSubword Tokenization: Byte Pair Encoding
Abhishek Thakur |

Episode 3: Handling Categorical Features in Machine Learning Problems

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