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I've got some data i am processing for aBuilding my machine learning model. My, I have a target variable that consists of dollar values ranging from $0.01 through $1,000,000+$0.01$ to $1000000$+. I want to transform these dollar values in to a scale of 1 to 10 and then try and predict that level of 1 through 10.

What is the best approach to normalize my dollar values in to a scale of 1 to 10?

I've got some data i am processing for a machine learning model. My target variable consists of dollar values ranging from $0.01 through $1,000,000+. I want to transform these dollar values in to a scale of 1 to 10 and then try and predict that level of 1 through 10.

What is the best approach to normalize my dollar values in to a scale of 1 to 10?

Building my machine learning model, I have a target variable that consists of dollar values ranging from $0.01$ to $1000000$+. I want to transform these dollar values in to a scale of 1 to 10 and then try and predict that level of 1 through 10.

What is the best approach to normalize my dollar values in to a scale of 1 to 10?

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Transforming target variable

I've got some data i am processing for a machine learning model. My target variable consists of dollar values ranging from $0.01 through $1,000,000+. I want to transform these dollar values in to a scale of 1 to 10 and then try and predict that level of 1 through 10.

What is the best approach to normalize my dollar values in to a scale of 1 to 10?