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Manish Bhoge's Blog Posts Tagged 'modeling' (4)

(R + Python)

Both R & Python should be measured based on their effectiveness in advanced analytics & data science. Initially, as a new comer in data science field we spend good amount of time to understand the pros and cons of these two. I too carried out this study solely for “self” to decide which tool should i pick to get in depth of data science. Eventually, i have started realizing that both (R & Python) has its space of mastery along with their broad support to data science. Here some…

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Added by Manish Bhoge on February 7, 2014 at 9:22pm — 4 Comments

Operational Data Science: excerpt from 2 great articles

The term "Data Science" has been evolving not only as a niche skill but as a niche process as well. It is interesting to study "how" the Big data analytics/Data Science/Analytics can be efficiently implemented into the enterprise. So, along with my typical study of analytics viz. Big data analytics I have been also exploring the methodologies to bring the term "Data Science" into mainstream of existing enterprise data analysis, which we conventionally know as "Datawarehouse & BI". This…

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Added by Manish Bhoge on December 12, 2013 at 7:30am — No Comments

Warm-up exercise before data science.

Practicing Data science indeed a long term effort than a learning handful of skills.  We ought to be academically good enough to take up this challenge. However, if you think you came a long way from your academic rebuilding,  but you still have that zeal & passion to take the oil from the data and fill the skill gap of data science then here is the warm-up tips. Below points must exercised before jumping into…

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Added by Manish Bhoge on October 18, 2013 at 9:26am — No Comments

An indispensable Python : Data sourcing to Data science.

Data analysis echo system has grown all the way from SQL's to NoSQL and from Excel analysis to Visualization. Today, we are in scarceness of the resources to process ALL (You better understand what i mean by ALL) kind of data that is coming to enterprise. Data goes through profiling, formatting, munging or cleansing, pruning, transformation steps to analytics and predictive modeling. Interestingly, there is no one tool proved to be an effective solution to run…

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Added by Manish Bhoge on August 27, 2013 at 8:00am — 4 Comments

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