The practice of data science requires the use of machine learning frameworks extensively. Now, this could be for many reasons but largely to automate their processes that drive their business forward.

Framework focused solutions mean data scientists don’t always need to have extensive experience in coding and programming languages, and can instead use their expertise in solving bigger problems on their table. Reports show that 85% of data pros have used at least one ML framework.

Top Frameworks used by Data Scientists

If you are on your path to becoming a data savy, here’s a list of the 10 best open source ML frameworks available in the market that are reportedly the most used by data science professionals.

1. TensorFlow

Tensorflow is an open-source machine learning library developed at Google for numerical computation using data flow graphs is arguably one of the best, with Gmail, Uber, Airbnb, Nvidia, and lots of other prominent brands using it. It’s handy for creating…



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