so i have this column with high cardinality :
Df['Education_Degree'].value_counts():
Masters Degree in Mathematics 5550
Bachelors Degree in Physics 4420
Bacherlors Degree 3210
Masters Degree in Mechanics 2540
Masters Degree 1200
Masters Degree in Economics 995
.
.
.
Name: Education_Degree, Length: 356, dtype: int64
And What I want to do is to create dummy columns but only for levels above 995 , Any Suggestion Would Be Much Appreciated , Thank you
In your case
s=Df['Education_Degree'].value_counts()
sdumm=pd.get_dummies(Df.loc[Df['Education_Degree'].isin(s.index[s>=995]),'Education_Degree'])
Then just concat
yourdf=pd.concat([Df,sdumm.reindex(Df.index).fillna(0)],axis=1)