Here are some methods for cleaning data when using pandas dataframe: Delete data with empty district df.dropna(subset=[“COLUMN_NAME”]) Delete the whole attribute which includes empty data df.drop(“COLUMN_NAME”,axis=1) Replace empty data with other elements(Such as median) median = df[“COLUMN_NAME”].median() df[“COLUMN_NAME”].fillna(median,inplace=True) When replacing…
There are 8 main steps: Frame Problem and Look at the Big Picture Get Data Explore data to gain insights Prepare the data to better expose the underlying data patterns to Machine Learning Algorithms Explore many different models and shortlist…
I’ve created a simple data management platform using Nextjs and Django.I’m hoping I can get some kind of feedback to check whether I’m creating would be ACTUALLY useful.
PREPARING DATAWhen starting an AI project, 80% of the work is on cleaning data for the model. In most cases, the data are not clean and the data source is not centrally managed. That’s when a data management platform comes…