All our Data Science projects include bite-sized activities to test your knowledge and practice in an environment with constant feedback.
All our activities include solutions with explanations on how they work and why we chose them.
Remove the column labeled Unnamed: 0 from the dataframe df as it does not contain any meaningful information related to mobile phone specifications or prices.
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Renamed the column Brand me to Model Name to clarify the data it represents within the dataset.
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Eliminate duplicate entries from the dataframe df to ensure each record is unique and maintain data consistency.
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Remove all null values from the dataframe df to uphold data integrity.
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Filter out ratings less than 1 and ratings equal to #FIELD!.
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Remove the GB from the RAM and ROM columns (do not forget to remove the trailing whitespace).
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Do not forget to remove the trailing whitespace.
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Remove MP from Primary_Cam column (do not forget to remove the trailing whitespace) then convert it from object to integer.
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Remove MP from Selfi_Cam column (do not forget to remove the trailing whitespace) then convert it from object to integer. Remember to first convert it to float and then to int.
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Remove mAh from Battery_Power column (do not forget to remove the trailing whitespace).
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Remove the underscore that are present in few records of Battery_Power column and then convert it to integer.
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Remove values in the Battery_Power column that are less than or equal to zero and greater than 6000.
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Remove the Rs. prefix from the Price column (do not forget to remove the trailing whitespace), then eliminate any underscores present in the data, and finally convert it into numerical format from object.
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Exclude all records with prices less than or equal to zero and greater than 140300.
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Removing any text enclosed within parentheses, including the parentheses themselves.
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