How to do RFM Analysis Customer Segmentation using Python Machine Learning

In this video, we dive into the world of customer segmentation using RFM Analysis and Python machine learning. RFM Analysis is a powerful tool that helps businesses understand their customers and their buying behavior. By using Python, we can easily analyze large amounts of data and gain valuable insights into customer segments. This video will guide you through the process of setting up your data, analyzing it, and creating segments based on customer behavior. You will learn how to use Python libraries such as Pandas and Sklearn to perform RFM Analysis and segment your customers. Whether you're a business owner, marketer, or data scientist, this video will provide you with the tools and knowledge you need to effectively segment your customers and improve your marketing strategies. Don't miss out on this informative and practical tutorial on RFM Analysis and Python machine learning for customer segmentation!
Find the code in my Github: github.com/hey...
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Let's connect and continue the conversation!

[@emmanuelasibe7871]

I love this Analysis on RFM using KMeans Cluster, it was very Helpful.

[@dheerajpatel5906]

Nice explanation...keep up the good work
Please add steps like handling null/error and duplicate values, that would be really helpful.

[@MohitSharma-xy7xc]

Thanks for such a wonderful video Ronith , it was really helpful.

[@surajgutte8499]

Hey! your video was wonderful. Thank you so much for teaching. Really looking for new videos

[@ronithsharmila]

Thanks !

[@parsasayad]

this video helped me with analysis in my master thesis thank you

[@ronithsharmila]

Really happy that it helped you. Thanks :)

[@Arikatlakarthik-pm3tn]

You made it so clear . Thank you .

[@user-sr2bp4lf1h]

thank you , it was really helpful

[@abikangeles8507]

Thank you so much, a fan here from the Philippines :)
Can you also do this using Fuzzy C-Mean clustering?

[@joelprakash3172]

Thank you Ronith... clear explanation looking up for new videos with End to end project

[@ronithsharmila]

Thanks for the comment! Sure, more videos on the line!

[@rds9815]

Hi nice project but if you don't mind please upload the videos in 1080p or higher because the video is blurry we cant see properly.
thank you

[@yoohtoob7791]

Great thanks

[@dharmikbhanushali8259]

Hello Ronith ! I recently saw your video I have one small doubt at 5:32 were you used were doing RFM in that when you were finding recency why you took day= '2012-01-01' instead of that I can use any date ?
can you just help me out with small explain on that

[@niluthonte45]

thank u brother

[@gangsterop9034]

Where is the Data.csv file. please provide. Im getting error in df=pd.read_csv

[@igortester9103]

Thank you my friend.

[@ronithsharmila]

It's a Pleasure ! :)

[@geniusmpala4078]

Are K means the only way to cluster your data, also given that I want to use K means with LSTM encoder decoder-based models, how do I go about it. can you make a video for that, please

[@ronithsharmila]

That sounds like a good idea !

[@rajnishadhikari9280]

where is data
i am unable to find the data

[@niluthonte45]

can u make video on rfm using sql

[@shamsulhoquekhan933]

Can you please share the dataset?

[@J.P.-yz1lc]

Could you share the sample dataset file?

[@vaishnavirohatgi6347]

Could you provide the data please?

[@gangsterop9034]

Please provide the raw data