Feature Engineering Techniques For Machine Learning in Python

Рет қаралды 28,866

Күн бұрын

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Timeline:
00:00 Introduction
1:44 Initial Setup
10:00 Dimensionality Reduction (PCA)
16:22 Preprocessing / Scaling
26:08 Categorical Encoding (Dummy / One-Hot)
33:09 Binning (Grouping / Aggregating)
37:56 Clustering (K-Means)
44:08 Feature Selection

Пікірлер: 64

@GregHogg 10 ай бұрын

Take my courses at mlnow.ai/!

@arsheyajain7055 2 жыл бұрын

Been waiting for this one!! Amazing video! Thanks Greg

@GregHogg 2 жыл бұрын

Glad to hear it! No problem 👍😊👍

@roblee3667 2 жыл бұрын

Run a heat map for all columns when viewing correlations before running PCA, there are way more opportunities for dimensionality reduction.

@GregHogg 2 жыл бұрын

Oh interesting I should look into this

@Eizengoldt 9 ай бұрын

Greg, your videos are absolutely lovely and reinforce everything I’m learning in my classes, thank you so much

@GregHogg 9 ай бұрын

Oh I'm so glad to hear that! Thank you for the support and for the kind words, I really appreciate it :)

@e_hossam96 2 жыл бұрын

for info: if you delete the column island then you should delete the rows containing value 1 as well or you will have the other encoded columns equals zero in all.

@mikekertser5384 2 жыл бұрын

I've waited for this video! Many Thanks! :)

@GregHogg 2 жыл бұрын

Yup, I know you have been. No problem Mike and thank YOU 😄

@nokroman 8 ай бұрын

i've been lost in feature engineering chapter on the book that i am currently ready for machine learning right now, and straight ahead i found your video, and with the whole 47 minutes i have learned 2-3 things from you and i understand the whole process lot more better now, this all thanks to you Greg! keep up making these types of videos bcs WE NEED YOU!!

@GregHogg 8 ай бұрын

Awe this is so nice. So glad to have brought a bit of value. Thank you so much for the encouragement and support, it means a lot. Happy learning 😄

@jacobsquires 8 ай бұрын

You explain everything in such an easy-to-follow way! Thanks for the amazing video!

@GregHogg 8 ай бұрын

Ghost to hear it! Thank you so much, and you're very welcome!

@darshanprabhu3674 Жыл бұрын

Thanks a lot greg , you have helped me a lot through this videos.

@ashleyb5849 2 жыл бұрын

Amazing video as always! Super helpful

@GregHogg 2 жыл бұрын

Glad you thought so!

@hsoley 2 жыл бұрын

Best of the best! Thank you greg, you are the man!

@GregHogg 2 жыл бұрын

Thanks so much! I really appreciate that.

@user-dv4cd3bi3o 10 ай бұрын

Thank you so much. Your efforts are really appreciated.

@crepantherx 2 жыл бұрын

Buddy, I have subscribed you. Please keep uploading more video that helps a lot

@GregHogg 2 жыл бұрын

Thanks so much, and I absolutely will!

@kashishrajput4934 Жыл бұрын

Thank you for posting this, i like all of your videos :)

@GregHogg Жыл бұрын

Great to hear!!

@ShadowD2C 7 ай бұрын

really great comprehensive video, would be great if you did one on how to select features to get the best results for this problem itself

@rafik1968 7 ай бұрын

Thank you a lot for these helpful experiments .. it gave me a lot of ideas in data preprocessing !

@GregHogg 7 ай бұрын

Super glad to hear it!

@gpsvlogs7853 2 жыл бұрын

You're Gold !! Keep up the good work.

@GregHogg 2 жыл бұрын

Thanks so much really appreciate that

@prasadchavan3562 Жыл бұрын

great🙌🏻, very helpful keep making more such videos

@GregHogg Жыл бұрын

Thanks so much, will do!

@ernestoflores3873 3 ай бұрын

Thanks! Very usefull!

@findoc9282 Жыл бұрын

this kind of way is what we need outside the uni class. Enough for PCA knowledge in Uni, let's code!

@shivanshusharma8154 5 ай бұрын

This is very informative....

@runbama1013 8 ай бұрын

great job thank you

@GregHogg 8 ай бұрын

You're very welcome!

@Asoville18 5 ай бұрын

Thanks man

@rajpulapakura001 Жыл бұрын

amazing tutorial

@cipher4811 2 жыл бұрын

well explained thanks

@GregHogg 2 жыл бұрын

You're very welcome!

@agoodfriend365 Жыл бұрын

thank you bro

@seemunchan1664 Жыл бұрын

Superb

@nhinvalerabayugao1418 3 ай бұрын

many thanks

@GregHogg 3 ай бұрын

Many welcomes!

@ahmedaj2000 2 жыл бұрын

thanks!

@mouadet-tali4089 2 жыл бұрын

thank you so much

@GregHogg 2 жыл бұрын

You are very welcome!!

@trongnhantran3358 Жыл бұрын

Love it

@hosseiniphysics8346 4 ай бұрын

tnx

@imveryhungry112 Жыл бұрын

Thank you I wish i was as smart as you ughhh but at least i learned some from this

@adilbhatti6299 Жыл бұрын

Wish I could give more likes!

@GregHogg Жыл бұрын

One will do ☺️

@zsnowboardern9332 8 ай бұрын

great video. pkease talk slowe for the beginners

@GregHogg 8 ай бұрын

Thank you!

@lazytocook Жыл бұрын

do u have a tutorial on catBoostencoder

@russelllapua4904 4 ай бұрын

Wouldn't this be called Transformation techniques of preprocessing instead? I thought Dimensionality Reduction would be separate from Feature Engineering, with Feature Scaling making up the 3rd subtopic. So something like: Dimensionality Reduction (removing features) PCA Clustering Feature Engineering (creating/transforming features) One-Hot Binning Feature Scaling (normalisation/standardisation of features) Your scaling