Fix ValueError

✅ Solution

ValueError in scikit-learn usually arises from providing incorrect data types to a model, like strings when expecting numerical values, or incompatible shapes/structures. Address this by ensuring your input data conforms to the expected data type and shape specified in the documentation, often by converting strings to numbers using LabelEncoder or OneHotEncoder or reshaping arrays. Check the specific model's input requirements and modify your data accordingly to resolve data type and shape mismatches.