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Curse of Dimensionality:
One of the most commonly faced problems while dealing with data analytics problem such as recommendation engines, text analytics is high-dimensional and sparse data. At many times, we face a situation where we have a large set of features and fewer data points, or we have data with very high feature vectors. In such scenarios, fitting a model to the dataset, results in lower predictive power of the model. This scenario is often termed as…Continue
Added by suresh kumar gorakala on February 28, 2016 at 9:30pm — No Comments
Gets Tweets from Twitter:
Added by suresh kumar gorakala on January 11, 2016 at 6:00am — No Comments
Originally posted here.
Added by suresh kumar gorakala on October 13, 2015 at 6:30am — No Comments
In my previous blog I have explained about linear regression. In today’s post I will explain about logistic regression.
Consider a scenario where we need to predict a medical condition of a patient (HBP) ,HAVE HIGH BP or NO HIGH BP, based on some observed symptoms – Age, weight, Issmoking, Systolic value, Diastolic value, RACE, etc.. In this…
Added by suresh kumar gorakala on October 9, 2015 at 9:13am — No Comments