Learner, Practitioner & Teacher
Even though, ML and DL community is growing the majority of growth is happening in the direction of Science (i.e., algorithms and code). Off late we are seeing lot of No code and Low code analytical platforms popularly known as
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Need: In statistical inference we have different test statistics(test) which will differ by different differs of variables as well as for different types of analysis ,hence choosing correct statistical test is really important, wrongly chosen statistical tests might not give
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Need: The test statistics such as χ2 and Fisher’s Exact Test only test whether there is a relationship between categorical variables or not but fail to provide the strength of the relationship. Approach: To find the strength of relationship (such
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Need: if you want to study the relationship (association) between two variables which are associated with another variable, then both RR (Relative Risk) and OR (odds ration) doesn’t work as they are able to explain the association between two variables.
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Need Researchers are often interested in evaluating the association between an exposure and an outcome. In other words, they are interested in knowing whether the presence of a risk factor or performing an intervention alters the risk of an outcome
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Even after lot off Low code and No Code platforms emerge in the form of Auto ML. (As machine learning has moved from theory to applications). Still Machine Learning has some hard lesion to follow which are Here’s what we
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