Smote with Python

- What is the class imbalance problem
- Examples of Class Imbalance
- Context of SMOTE
- SMOTE Application with a sample dataset
- SMOTE Parameters
- Other Algorithms
Other Materials
Notebook: www.kaggle.com/saptarsi/smote...
Article: towardsdatascience.com/class-...
video: • How to use SMOTE, Bord...
#SMOTE, #SMOTEUsingPython

[@vijaykumar-od7kx]

thanks saptarsi, this video hepled me to understand the SMOTE much better. thanks again

[@subhasreebose8178]

I am not in much touch with data science these days but still could understand this video clearly. Very nicely explained

[@SaptarsiGoswami]

Thanks a lot

[@Theroadrunner2002]

I have recently applied this for a project of risk prediction in construction sector. Nice one👍🏻

[@SaptarsiGoswami]

SMOTE also has some issues, will try to come up with a video on other algorithms too.

[@iheleanbeefpatty]

Thank you for this video sir.

[@malihehheydarpour104]

Thanks for your video. could you please help me to find the next video of that which you discussed about different methods of smote?

[@hsumin3302]

Thank you for sharing this video. I have learned much from it.

[@SaptarsiGoswami]

Thank you so much

[@user-cu6dq2qe6w]

Hello sir, how can I do it if I want to solve a problem with three categories with the smote algorithm

[@wazibansar1683]

Very informative video Sir.

[@SaptarsiGoswami]

Thanks Wazib

[@priyamilton1173]

Sir.. Can u please explain how to apply SMOTE for streaming data

[@KaushikJasced]

Thank you sir for giving a wonderful lecture. Can you tell me how I can put the sampling ratio as per my choice instead of 1:1 using SMOTE?

[@SaptarsiGoswami]

Please go through the parameters class imblearn.over_sampling.SMOTE(*, sampling_strategy='auto', random_state=None, k_neighbors=5, n_jobs=None). the sampling strategy parameter will give you the handle.

[@sayantanighosh3930]

Sir very clearly explained

[@SaptarsiGoswami]

Thanks and welcome

[@kurniawandk5078]

sir, i have question about how to set n sample of the smote, in example i want to set 200% of n_sample smote, i didnt find how to set that

[@SaptarsiGoswami]

class imblearn.over_sampling.SMOTE(*, sampling_strategy='auto', random_state=None, k_neighbors=5, n_jobs=None), you can use the sampling strategy parameter.