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Data Science code example -4: How to use auto encoder for unsupervised learning models?


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Please find below 4 recipes in series 2 of introduction to pandas dataframes. 
Recipe 1 - How to rename a column header in pandas dataframe

The most common way to rename a column header is by using the df.rename() function. To rename a single column - the following command renames a column titled “General” into a new title “Admiral”
df.rename(columns={'General': 'Admiral'}, inplace=True)......the code snippet is available here.
Recipe 2 - How to search pandas dataframe for a value 

The following code finds all value sof Age where salary > 50,000. The .where function helps to search a pandas dataframe for a value. ......the code snippet is available here.
Recipe 3 - How to drop rows & columns in a pandas dataframe

Many times in data analysis you will have to delete rows and columns that don’t fit your modelling needs. The df.drop()helps achieve this. 

df.drop('reports', axis=1) ......the code snippet is available here.

Recipe 4 - Replace multiple values in a pandas dataframe

While data munging, you might inherit a dataset with lots of null value, junk values, duplicate values etc. In such instances you will need to replace thee values in bulk.......the code snippet is available here.

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