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Interested in learning deep learning but don’t know where to start? We have put together a REALLY comprehensive learning path to get you started in 2019!

Deep learning is coming up big in the industry these days. This article lists down what you need to know and learn, in a tidy and graphical format!

This awesome downloadable infographic displays 13 common mistakes data scientists make and tips on how to avoid each of them!

Introduction In his famous book – Think and Grow Rich, Napolean Hill narrates story of Darby, who after digging for a gold vein for …

Introduction Data visualization has become an integral part of data science work flow. Hence, your main tool needs to have strong capabilities on both …

Introduction If some one would ask me to mention 2 most important libraries in Python for data science, I’ll probably name “pandas” and “scikit-learn”. …

Introduction Cloud computing is becoming a natural extension for problems / data sets bigger than what laptops and desktops can process. However, for complete …

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 …

Introduction The secret behind creating powerful predictive models is to understand the data really well. Thereby, it is suggested to maneuver the essential steps of data …

Introduction It is said ‘A visually presented data speaks for itself’. Data, served in the right visual form, brings out hidden trends and insights …