Why I Would Root for Python for Machine Learning!
Neeraj Julka, the author of this article is a senior strategy and consulting professional with 14 years of experience, currently working in the Market Research domain. He holds an MBA from Schulich School of Business and is a graduate of the Executive Program in Business Analytics (EPBA) by MISB Bocconi and Jigsaw Academy.
While this is an oft documented and an oft discussed topic, could not resist adding my two cents to the issue given the huge learning curve and the time and effort expended to learn R and Python. There are multiple sources – KDNuggets, forums(Stackexchange, Kaggle) and numerous blogs, articles and posts that post stats and figures on the number of users and map the pros and cons for both. While most give R an edge – in terms of usability, visualization, flexibility and well, salaries, Python definitely has bigger pros both from a learning and deployment perspective.
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