Hands On Data Science Project: Understand Customers with KMeans Clustering in Python

[@praveenm3414]

Its like I have gone thru a year of course curriculum , what an explanation of Data Analysis,i did'nt even noticed the time of the video it just pass by😍👍

[@trentdoesmath]

So glad to hear you found this valuable 🙏

[@praveenm3414]

@@trentdoesmathobviously yes, It's not just about characters of letters that we call code in prog'g lang👍🙏

[@ihor4ix]

That's actually super-cool stuff!!!! thank you for doing this and sharing with everyone!

[@Mastodonte71]

I'm already enrolled into a DS boot camp and this helped me a lot with the actual content I'm into, thank you 🤙🤙

[@trentdoesmath]

Glad to hear it helped - all the best with your bootcamp!😎

[@AmoMore-oz9uk]

I cannot overstate how much I needed this video, you're calmness comes across well and makes all the information so easily digestible! lol no DNA, just RSA! You definitely have a new subscriber in me!

[@trentdoesmath]

Ey thank you 😎 so glad I could help👌... Yeah! RSA all the way 🇿🇦 💪

[@irinamicov]

What a great video! I appreciate the detailed explanations at every step which enabled me to not only understand what you did but also potentially replicate the concepts using different datasets in the future. Thank you!

[@trentdoesmath]

Glad it was helpful!😎

[@ergoits]

This types of videos are super helpful! Thanks for sharing

[@trentdoesmath]

I'm glad to hear @@ergoits 🙏 I'm planning to make more project videos - is there any kind of project you are interested in, in particular? 🤔

[@zakmnmoh]

Hi Trent, Thank you for your effort to provide such inside knowledge to beginners. You have a talent to make things easy to follow while explaining important things as much as possible. make more of it on real-world scenarios and creating meaningful dashboards. just learning a lot from you.

[@trentdoesmath]

@@zakmnmoh Thank you so much for your support 🙏 I feel privileged to be part of your learning journey😎 I will definitely make more videos on real world scenarios 💪 Let me know of any specifics you'd like to learn and I'll see what I can do👌

[@zakmnmoh]

@@trentdoesmath Interests; 1. Building analytical integrative dashboards from a messy data where the user can have a sidebar to control or choose period and time line for a Single company or all listed companies to see the historic performance in their market. use of databases with python like Mysql, PostgreSql, or live API. I think using databases will let users have ability to download the plotted data in excel format on spot if they are allowed todo so.. 2. To map plotted data on regions in python using available free google leaflet maps or any geospatial Data like making dynamic graph with map that shows latitude and longitude of events with number of variables Hope you can add more..

[@zakmnmoh]

​@@trentdoesmath Interests: - Making meaningful dashboards from messy data is absolutely valuable but it's also important if you publish and share online using quarto and and Shiny - Building Interactive dashboard with sidebar to control and filter data by specific variables and company name - Python and database integration like popular mySQL, PostgreSQL and deployment - Geospatial Data Analysis with Python as it has libraries like GDAL, GeoPandas to read and write popular GIS data formats like Shapefiles, GeoJSON,

[@banihas22]

Awesome work! Love the gentle background music.

[@kamon242]

Excellent video! very concise and clear explanation and a gentle pace. I hadn't seen much tutorials in the line of hands on/case study and would love to see more in the future covering other analysis methods.

[@trentdoesmath]

Thank you so much! For sure, as I get time I will make some more videos on other techniques 🙏

[@nwba]

Thanks so much!

[@amal7411jo]

awsome bro ...need more data science videos from you 🤩🤩🤩

[@trentdoesmath]

Much appreciated 💪... I surely will make more DS content in the near future 🙌 - do let me know if there's anything specific you would enjoy seeing.

[@AbdulVajid-fz3vs]

Thank you for your hard work, This is really helpfull . it really helping me to understand how to approach problem step by step,and Mainly this kind of video really increase my domain knowledge which i am currenly really looking for. Please Do more project video in diffrent field to get more domain knowledge,I would really appreciate if you do some really advanced and deep exploratory Data analysis . once again thank you

[@trentdoesmath]

I am glad to hear it was helpful! 😎 Thank you for the ideas and support 🙏 - I think some advanced EDA would be fun!

[@tusharplug]

Amazing explanation! Can i see you work on some time series analysis and then forecasting project please. Thanks

[@trentdoesmath]

Thank you! 🙏 That's a good suggestion, will look at some time series stuff in future 🤔 stock market analysis is always a classic for this 😅

[@sultan_sikander_khan]

Hi Trent, Hats off to your efforts for people like me-marketers who struggle to get results in marketing analytics. I am trying to learn marketing analytics for client projects. If possible, could you guide me on how to get started with marketing analytics? Any suggestions, such as courses or books, would be greatly appreciated. Specifically, could you recommend any books or courses that could help me learn marketing analytics using Python? Also, would it be possible for you to make a video on this topic? Thanks!

[@trentdoesmath]

Thank you for your support and comment 🙏 now I do not have a strong professional background in marketing analytics per se - however - a book that I would recommend is 'Trustworthy Online Controlled Experiments: A Practical Guide to A/B Testing' - this delves into A/B testing which from my understanding is the foundation of examining the efficacy of a campaign etc. Overall, I would say that learning the basics of statistics for analysis and data science will take you a long way. If you have a project in mind professionally or personally let that guide your next step! Even if you use tools that you are familiar with to start (excel or even pen and paper), what is important is to first conceptualize what you want to achieve with your project, then learning about 'fancy' tools that can help you will follow. I hope this helps and all the best 🙏

[@sultan_sikander_khan]

@@trentdoesmath Thanks for your valuable advise

[@winzasiwale7701]

I have followed it step by step. Nice work, very neat! How can I become as good as you? What books or videos can I read or watch to improve? Otherwise, great work-100%! please post more project

[@trentdoesmath]

Thank you for the support 🙏... It's just practice I think - I really believe that doing personal projects is one of the best ways to learn! However, I do also enjoy reading and tutorials about topics - if you are keen on the theory behind data science, the book 'Introduction to Statistical Learning' by Daniella Witten is great! 😎 Do stay tuned, I will make more projects in future. Let me know if there are any topics in particular you are interested in!

[@faizanahmed5955]

I really appreciate for sharing your knowledge ,if you could remove the background music as its acting a distraction .

[@trentdoesmath]

Thank you for the feedback 🙏 would softer music work? Or do you mean no music at all?🤔

[@madhukarmogalapalli542]

​@@trentdoesmathno music is better

[@297slash]

⁠@@trentdoesmathMaybe not remove, but low down a little bit

[@opendeltatech]

such an informative and well produced video!! subscribed and like. looking forward to more of your videos.

[@trentdoesmath]

Much appreciated! 🙏 Let me know if there are any topics you have particular interest in 😎

[@opendeltatech]

@@trentdoesmath yeah man, actually really interested in using regression problems that have high number of columns. A video explaining how to go about selecting/dropping columns🙏

[@josephbowyer5566]

Learnt a lot here. Keep it up

[@trentdoesmath]

Glad to hear it 😎 Thank you for the support 🙏

[@amalzulkipli2248]

Subbed and liked, waiting for your next series!

[@trentdoesmath]

Much appreciated 😎... Working on it 💪

[@yallagoool4078]

thank you for sharing and your effort

[@trentdoesmath]

Welcome! Hope you enjoyed this one 🙂

[@FIBONACCIVEGA]

such a good video. I would like to ask something about how integrate with airflow ?

[@trentdoesmath]

Thank you! 🙏 That is a good question - airflow is typically to orchestrate the steps when you want to 'operationalise' your workflow/pipeline. The short answer is that I would make all of my steps python functions and then coordinate them using Airflow to trigger each step - either by time trigger (daily batch) or event trigger (new file landing in a dir). The long answer would be best approached through a video... coming soon (one day)😎

[@FIBONACCIVEGA]

@@trentdoesmath Thanks for your time to answering me. I got an interview with the technical assessment but I couldn't complete the workflow . It was an interview for a data analyst. I dint get the job . could be perfect if you could make a video of something like that to use as example . I got the dataset and the file instruction for the interview but im not sure how to integrate all the code in the jupyter notebook or if I have to run the code on AirFLow .py .Thanks again

[@trentdoesmath]

I'm sorry to hear that. That's an insanely hard question to ask an analyst though! However, all I would advise is to learn what you can from the experience and use your knowledge in the next interview. 🙏 On my side, I'll make some content on airflow and orchestration at some point 😎 Goodluck!

[@bubelerasmeni1846]

Top project 🤝🏿

[@mapletech_22]

Thanks for sharing

[@trentdoesmath]

Thanks for watching!

[@Ajay-ft3hb]

Appreciate it mentor.

[@AjayAjay-xe6qw]

Thank you 🎉

[@trentdoesmath]

You're welcome Ajay🙏

[@RESPECT-bu1fr]

More videos with pandas,numpy, matplotlib, seaborn and scikit learn

[@trentdoesmath]

Most certainly 😎 thank you for the support!

[@jose_11_2]

Great Video ...! brother got an idea for my supplychain project thanks ..| Is there any possibility to get the python notebook in GitHub or any other sharable platform?

[@trentdoesmath]

Glad to hear it! 😎 I left a link to my github in the description, you should find the notebook there. Let me know how things go with your project 💪💪

[@jose_11_2]

@@trentdoesmath project is going well once again thanks brother.. expect more videos on advance EDA and multivariate analysis

[@trentdoesmath]

@@jose_11_2 glad to hear it! For sure - that's an interesting point and something I thought about when dealing with the outlier data - i.e. how do I deal with multivariate outliers (outliers that exist in multiple dimensions)?🤔. Thank you for the idea 🙏

[@arunavsrivastava1387]

Hi there! Could you please suggest a beginner-friendly project video on a supervised machine learning algorithm that I can follow along with and learn from?

[@trentdoesmath]

@@arunavsrivastava1387 thank you for your comment 🙏... I'll be making more tutorials in future 👌... However, 'Karina Data Scientist' has some excellent videos, I'd definitely recommend them😊

[@arunavsrivastava1387]

@@trentdoesmath Thanks Sensei

[@MahmutAyabakan]

Rodriguez Melissa Garcia Patricia Davis Michael

[@trentdoesmath]

I have no idea who these folks are, but I appreciate your comment and support nonetheless 🙏😆

[@dp70737]

😁 from here on I will be referring to violin plots as stingray plots!!

[@trentdoesmath]

It's objectively a cooler name 🤣

[@tirthasg]

What theme, and colour palette are you using? They look pleasant to my eyes!

[@trentdoesmath]

Thanks for the comment 😊 I used the Viridis pallette in matplotlib - otherwise just solid contrasting colours for the clustering

[@tirthasg]

@@trentdoesmath Sorry, my question was ambiguous. I meant to ask for the vs code theme, and font colours that's being used in the video.

[@trentdoesmath]

@@tirthasg No worries 🙂 in VS I use 'One Dark Pro' which you can find in the extensions store for free - I'm a 'dark theme' kind of person 🤣

[@tirthasg]

@@trentdoesmath Thanks! I have been using Kanagawa for a while now, and was looking to switch to some equally aesthetic dark themes. Looks like One Dark Pro is going to be my next long-term theme. By the way, have you ever met a person who's into light themes? Personally, I have met just one!

[@trentdoesmath]

@@tirthasg Glad to hear it! Productivity++ 😎... Funnily enough I have, me and my team had a running joke that it's cool if they use the light theme, because 'bugs would be attracted to their screen' 🤣

[@vkronik]

why background music?

[@trentdoesmath]

I've always enjoyed LOFI music when doing work etc 😊 but I listened back to the video and realised it could be a bit distracting 🤔... I will change things up in the future 🙏

[@user-sn5ro1cp3n]

why u ignore the recency outliers?

[@trentdoesmath]

Good question 🙂 I ignored them because I judged the severity of the recency outliers to be minimal - you want to balance rejection of outliers with the analysis cost of excluding them - because the outliers weren't too drastic I decided to keep them as part of the clustering instead of splitting out the analysis and increasing the complexity of what I was doing. But I could get behind the argument for being more strict on the outliers - it would have just needed more extensive analysis. Hope this helps 🙏

[@Danyal_alam]

Create end to end projects if possible

[@trentdoesmath]

Thanks for the comment 😎... For sure! I've been thinking and planning around a ln E2E project 🤔 Any specific technologies or examples you're interested in? Thanks again for your support!

[@Danyal_alam]

@@trentdoesmath NLP and Mlops