Fixing Incorrect Column Types in Pandas to Prepare Data for ML

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Sometimes, due to problems with data collection or during data importing the types if our Pandas DataFrame column can be read incorrectly. In this video, let's see how to correct this issue by updating all columns to the correct type.
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[@MuhammadFaizanMumtaz3]

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[@ajithdevadiga9939]

suppose if i Have missing values for 2 features when performing data cleaning,
and missing values count is around 100 thousand ,
do I need to handle / impute missing data here or after splitting the data set into train and test sets ?, as it can avoid data leakages,
what approach would you follow ?
if anyone working on this , kindly share your thoughts
thanks 🙂