How can we use String/Text Attributes to build Classification Model in Python?

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I want to make model with machine learning based. The attribute that I used in the dataset are segment, project name, price and target or label (win or loss). I want to make model that can classify if we input some project name, price and segment it can show us the project will win or loss if we sell them based on the dataset.

But the problem is, it is possible that we use the 'Project Name' to the model? because in my case, the project name it's different from one to others, it use string/text (inputed manually by the user/categorical but it has different value in every rows). I have read some articles about word embedding to change text to number like Word2Vect etc.

I have read some articles too that we should change the text/string to number so the model will understand. But I have no idea because I'm just beginner in machine learning.

I'm not sure too it will work or no and I really need some advice for my case. Thank you!

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