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Introduction You seem to come across the term ‘Deep Learning’ everywhere these days. It’s all pervasive and seems to be at the heart of …

Introduction The path to becoming a data scientist is one riddled with traps and challenges. If you’re not careful, you might just fall into …

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 …

Introduction One of the perennial points of debate in data science industry has been – “Which is the best tool for the job?“. Traditionally, …