5 Amazing Deep Learning Frameworks Every Data Scientist Must Know! (with Illustrated Infographic)

Introduction I have been a programmer since before I can remember. I enjoy writing codes from scratch – this helps me understand that topic (or technique) clearly. This approach is especially helpful when we’re learning data science initially. Try to implement a neural network from scratch and you’ll understand a lot of interest things. But do you think this is a good idea when building deep learning models on a real-world dataset? It’s definitely possible if you have days or […]

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A Complete List of Important Natural Language Processing Frameworks you should Know (NLP Infographic)

Overview Here’s a list of the most important Natural Language Processing (NLP) frameworks you need to know in the last two years From Google AI’s Transformer to Facebook Research’s XLM/mBERT, we chart the rise of NLP through the lens of these seismic breakthroughs   Introduction Have you heard about the latest Natural Language Processing framework that was released recently? I don’t blame you if you’re still catching up with the superb StanfordNLP library or the PyTorch-Transformers framework! There has been […]

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Quick Guide: Steps To Perform Text Data Cleaning in Python

Introduction Twitter has become an inevitable channel for brand management. It has compelled brands to become more responsive to their customers. On the other hand, the damage it would cause can’t be undone. The 140 character tweets has now become a powerful tool for customers / users to directly convey messages to brands. For companies, these tweets carry a lot of information like sentiment, engagement, reviews and features of its products and what not. However, mining these tweets isn’t easy. Why? Because, before you mine this data, you need […]

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