Hopdata is a machine learning as a Service. Our aim is to provide an affordable and efficient platform for creating machine learning models without any complex code.

The use only had to upload a csv file which is then cleaned and converted to a feature vector. After that we train each data on five different algorithms (Naive Bayes, Decision Tree etc.) , this ensures that each data is only trained with the algorithm having the highest accuracy.

We have designed our system to be extremely efficient for small datasets (Datasets less than 1GB). We realized that only a handful of big companies have data which requires Big Data Machine Learning Systems. A huge market of startups and developers has been totally ignored.

We talk a lot about accuracy and we are very serious abut it as well. We continously test our system against our competitors (Monkey Learn, BigML, Alchemy API, AWS machine learning etc.), and we can prove that for almost all datasets we had higher accuracy.

Afforadabi...
Hopdata is a machine learning as a Service. Our aim is to provide an affordable and efficient platform for creating machine learning models without any complex code.

The use only had to upload a csv file which is then cleaned and converted to a feature vector. After that we train each data on five different algorithms (Naive Bayes, Decision Tree etc.) , this ensures that each data is only trained with the algorithm having the highest accuracy.

We have designed our system to be extremely efficient for small datasets (Datasets less than 1GB). We realized that only a handful of big companies have data which requires Big Data Machine Learning Systems. A huge market of startups and developers has been totally ignored.

We talk a lot about accuracy and we are very serious abut it as well. We continously test our system against our competitors (Monkey Learn, BigML, Alchemy API, AWS machine learning etc.), and we can prove that for almost all datasets we had higher accuracy.

Afforadability is also very important for us, as we wanted to bootstrap this company which we were still in college. We created a system which delivered highest accuracy with minimal use of resources. All processing is done using docker containers on a cluster of EC2 instances. And as soon as the processing is finished we destroy the servers. Doing this we have a system that is readily scalable and resource efficient.

I (shashank Agarwal) have been to a lot of hackhathons and most of my award winning apps had some machine learning component. We realized that makig an app smarter makes the app a lot more intuitive and user friendly. This increased engagement will directly affect sales.

At Hopdata we believe that every app should be smart and this will only get possible when there are affordable and efficient machine leanring services.
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