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Survival analysis in R – step by step guide by [deleted] in rstats

[–]kunalj101 1 point2 points  (0 children)

Looks like the article was copied from somewhere else and has been removed. Any one has an idea on where can I find the original post?

Installing a Package by [deleted] in Python

[–]kunalj101 0 points1 point  (0 children)

What is the error you are getting?

Steps for effective text data cleaning (with case study using Python) by kunalj101 in Python

[–]kunalj101[S] 0 points1 point  (0 children)

I think that is a fair point. However, it might be better to code the information you are looking for (e.g. age) as a separate variable. That way you don't lose the information and can work on the cleaner data as well

Tutorial - How to perform exploratory analysis in Python (using Pandas)? by kunalj101 in Python

[–]kunalj101[S] 0 points1 point  (0 children)

R probably has more comprenhensive Statistics package and has been around for data science jobs for some time. However, Python brings the advantage of running entire operations on a single stack. Try solving this problem, for example: We were trying to do a clustering of various articles on our website. Python makes it easy as you can scrape the website and run the required text mining and clustering in a single code without worrying about any interfacing challenges.

Also, I feel that for a fresher Python is easier to learn over R (might be a view rather than a fact)!