Intersect Labs enables anyone to build and deploy machine learning models in 3 clicks, from any spreadsheet or database. Companies can make accurate predictions without bringing in a data scientist or ML engineer.
@mit_shah2 glad you like it! Excited to help you get started w/ ML
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Interesting Idea. Kudos on the good work :-)
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Great product!
One month ago, I developed the exact same product for an ideas contest at university. It achieves the same results as yours.
Knowing the technical background behind it, I must say that your pricing is way to expensive. I know that there will be companies paying you this much, but looking at your infrastructure costs, it is not balanced.
Good luck though! :)
@ludwig_stumpp Hey Ludwig! Awesome job on your project. We thought the same when we had our initial prototype, but when we took it to businesses we learned they needed more.
While it looks extremely simple on the surface, today’s product has a pile more of optimizations, data cleaning/prep cases, and infrastructure hidden away under the hood than when we first started. Some of our customers rely on our API for their own product features, so that level of reliability is a huge value to them.
That said, the prototype wasn’t so easy either. I’d love to chat and hear about what you built!
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As someone that works with ML I can say that this is way overpriced. There are free python-libraries that does this and also a human will do it a lot better. At the same time what a ML practioner does like 80% of the time is cleaning data to get the csv-file that should be available for this tool. There's a reason why these tools aren't very popular and it is because you often have to make custom modifications that these tools can't. This tool can fill nan values, sure, but what if multiple related fields can be missing at the same time and it's necessary to create a new column to explicitly tell this? What if you need to feature engineer complex fields? What if you need to group data by multiple columns? What if you have to oversample one of the fields? What if you need to analyze pros and cons related to precision and recall? What if labels are missing? Also I feel like the reviews that says "I got results in seconds" are quite misleading. With big datasets you will never get results in seconds.
Unfortunately I was never able to get it working for me, somehow the platform doesn't like my csv file and the support still haven't been able to help me fix it.
I hope I'll be able to try the product soon!
@marcaime Hi Marc, my apologies that your message to us fell through the cracks. Mind shooting me a note at ankit@intersectlabs.io? We can figure out what's going on. Talk soon!
I uploaded a test database and it will only allow me to predict the numerical variables, I think a preprocessing data cleaning and feature engineering is needed before selecting the output variable.
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I saw intersect back when it was a v1 and the progression to what it is today. If you're an early stage DTC or eCommerce company that hasn't yet hired or can't afford to bring on a full-time BI engineer or data scientist/analyst yet, you should totally try Intersect. It surfaces up so many insights, especially for early stage start-ups to make better decisions and better inform the state of the business.
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