Data Science

Data Science-Data Preparation

Data Science-Data Preparation

Before data can be analyzed, a data scientist must extract it and make it clean and valuable.

• Means of data preparation
• Data cleaning
• Remove blank lines
• Categorize data
• Split the data into the correct data types
• Data analysis
 

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