Відео

I just noticed that both classification reports have highly imbalanced data. The precision, recall, and f1-score are fine for the records with 0, but NOT fine for the records with 1. This is easily fixed with SMOTE. You can learn more about SMOTE using the resource below. www.analyticsvidhya.com/blog/2020/10/overcoming-class-imbalance-using-smote-techniques/ I missed this detail before because my overall focus was not on imbalanced data sets, but rather Customer Churn Analysis vs Customer Retention vs Customer Lifetime Value. In reality, you would need to address this issue of imbalanced data, using SMOTE, or a similar technique, before deploying your model and/or sharing your findings with any stakeholders.

You can download the source code, as an HTML file, from here: drive.google.com/file/d/1hIQ3dsweLkSY2v8LyKMIM5GxPfaaEqDC/view?usp=sharing

Do you have it (code) on Github?

Hi, thanks for the video, as a new Python learner I enjoyed your video. I do have one question however, I don't see the "find_cheapest_store" function neither written in your notebook, nor in your imports. Could you be explain the inner workings of it? I assume you apply a filtering with the relevant selected items, sort the values by the sum of the prices and finally return the 4 differents outputs, namely "cheapest_store", "cheapest_price", "selected_prices", "total_prices".

Cool! Thanks for sharing this info!

Nice sequel to the first SQL!

Thank you so much for sharing all the valuable knowledge here.

You can download the source code, as an HTML file, from here: drive.google.com/file/d/14aEZazqcuYz3ot5rQsx7kmhcLGOVKadw/view?usp=sharing

You can download the source code, as an HTML file, from here: drive.google.com/file/d/1pR4DtvfFjMiSynyKUjs07Fjq5Oiw77us/view?usp=sharing

I guess this channel does not offer copy of the code portion on github ? Or we have to beg for it ?

This video is done in the stye of a podcast, and thus very different from all my other videos. If you like this format, please let me know, and I can do more like this. If you prefer the traditional format that I started with, just let me know, and I'll switch back to that. As always, you can download the source code, as an HTML file, from here: drive.google.com/file/d/1LXNBFUqc7GXO-5BfxpTzboZDiw9bb0m1/view?usp=sharing

i need your number WhatsApp

hello how can get the data set ?

You can download the source code, as an HTML file, from here: drive.google.com/file/d/1WGcZCe0cymu1GNGhhGlSbz0xG4SESYZ5/view?usp=sharing

Please do more videos on sql by solving real word data

My man, what are the odds that I was just thinking about this and the almighty Google knew to present it to me. Thanks for the content

You can download the source code, as an HTML file, from here: drive.google.com/file/d/13A8b0iJdqXkbNEY_Ej2V9WNJkMbx-sPF/view?usp=sharing

You can download the source code, as an HTML file, from here: drive.google.com/file/d/1HWQ4W_JUFNnpUmnuAf7id-gwhQolhQG-/view?usp=sharing

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Nice one. Please share more innovative ideas.

Nice!!

Really cool!

Very, very interesting.

You can download the source code, as an HTML file, from here: drive.google.com/file/d/1DS8u1-jTPcP12XPIbRTHz2DoKDsgKPWy/view?usp=sharing

You can download the source code, as an HTML file, from here: drive.google.com/file/d/16vXciQUHTefPLxPJGc62lY2bxOIa_Nj-/view?usp=sharing

You can download the source code, as an HTML file, from here: drive.google.com/file/d/1fDIlPT59rSaKAgDFPmJIsBSRadJsVT92/view?usp=sharing

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You can download the source code, as an HTML file, from here: drive.google.com/file/d/1KJG5XqzFV49C7ITixEpILvC2fyRRJ_aV/view?usp=sharing

Can u make a tutorial for spatial machine learning using python

Please add the all these code in the git hub

Excellent. Do you have the Python Code? Do you have any repository on Github? By the way, how can I send you the Python code on ETFs using Selenium?