Making clusters is easy, but what do they mean ?

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Making these clusters is easy, but interpretation on what the clusters mean is difficult. And unless you interpret the clusters, the clustering itself is of no use
So in this video, I will be demonstrating the top techniques for cluster interpretation, which are shown on the screen
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- Dimensionality Reduction
- Going multi-dimensional
- Machine learning
To experience some of the techniques demonstrated in this channel, please also visit channels website - experiencedata...
Its in beta-version, so give it a try and let me know your feedback. Thanks
Your host Pranay
You can connect to me on LinkedIn
www.linkedin.com/in/pranay-dave

Опубликовано:

12 сен 2024

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Комментарии : 12

@manuelheeg6648 2 года назад

Thanks, very informativ an helpful. Hope you'll find your deserved success on your channel soon.

@DataScienceDemonstrated 2 года назад

Thanks ! Much appreciated

@necuo25 2 года назад

Thank you, this was really helpful and you gave me more ideas to complete my analysis. I'm subscribing right now :)))!!

@DataScienceDemonstrated 2 года назад

Thanks!

@rishim6816 3 года назад

Thanks, Very informative as always!!

@DataScienceDemonstrated 3 года назад

Thanks , much appreciated !

@ahsan400 2 года назад

thanks! you are doing a great job explaining these quite subtle concepts. Please could you explain why did you select Tenure and Total Revenue but not column in between? I am trying to understand whats in eigen-vector analysis graph at 2:59 that tells us that these 2 variables are more important than others.

@DataScienceDemonstrated 2 года назад

Thanks Ahsan ! You have rightly spottedd that I take Tenure and Total revenue. And I left out the middle one which is Monthly revenue. The eigenvector value (in the bar graph) for Monthly revenue and Tenure is mostly the same. However I left out monthly revenue and went for Tenure for two reasons 1. Tenure and Total revenue are both represent 'total' customer lifetime value, so it is better to take as they are both at same level compared to monthly revenue 2. From Business perspective, a graph of total revenue vs tenure is more understandable and gives more business meaning compared to total revenue vs monthly revenue. Hope this helps

@sankalpsingh1359 11 месяцев назад

Can you please specify how you made the plots, specifically radarplot or give its source code?

@DataScienceDemonstrated 11 месяцев назад

Hi, I used Javascript library ECharts. See this link echarts.apache.org/examples/en/index.html#chart-type-radar

@mbuotidemdick9341 Год назад

thank you. I really love the light that you shade. can I have your contact email, I like you to explain geophysical data on subsurface characterization to me using the pattern?

@DataScienceDemonstrated 6 месяцев назад

Thanks. Yes sure. Please send mail at contact@experiencedatascience.com