Handling categorical data 

super sir ,thank you soo much

Thank you so much. These concepts were not that easy for me as you made these now.Any average learner can understand and implement these concept.

i have been working on it for long time , you made it simple .. thank you

I'm getting true or false instead of 0 and 1 after applying the dummies. Why is that?

Time saver ,thank you so much🙏

Can you please give a piece of code from which we can get the number of categorical columns and numeric columns in the whole dataset

Excellent work! I have been working on it for two days, but I did not grasp the main concept. However, after watching the video, I now understand the whole concept. Is my use of 'dose' correct? Also, please check the entire sentence

Hey! Great video as always. I have a question for you. In the end you're doing fit_transform with for loop. How can I do it with map, list ? When I do list(map(le.fit_transform(df_cat),df_cat)) it gives this error : y should be a 1d array, got an array of shape (513, 2) instead. How would you do map,list as an alternative to for loop ?

Great explanation! I have a question though, When we apply label encoder and the categorical column has more than 3 unique values it assigns the value as 1,2,3,4 etc. Are there any chances that our model prioritizes the category which has a higher number compared to others?

Thankyou❤

Im having error even after converting categorical values df value still shows object type