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suresh kumar Gorakala's Discussions

Advice on using similarity metrics in content based recosystems

Started Dec 21, 2015 0 Replies

For the below dataset, what would be the best similarity metric in recommending movies to user1?…Continue

Tags: data, science, learning, machine, engines

What is the importance of understanding data distributions in machine learning?

Started Aug 25, 2014 0 Replies

I would like to know What is the importance understanding underlying data distributions  in a dataset before applying any machine learning algorithm - it can be either prediction or classification…Continue

Tags: learning, machine, statistics

got stuck in Cluster analysis.

Started this discussion. Last reply by Edmund Freeman Mar 15, 2014. 2 Replies

 Need advice Dear Community,I have a situation, where I need to classify items into groups (lets say 6). When I ran k-means 90% of my data fall in 1 group remaining 10% fall in other groups. What's…Continue

Tags: clustering


suresh kumar Gorakala's Page

Profile Information

Short Bio:
Data Analyst,blogger
Field of Expertise:
Business Analytics, Predictive Modeling, Data Mining, Statistical Programming, Web Analytics, Vizualization, Statistical Consulting
Professional Status:
Technical, Consultant
Finding a New Position, Networking, New Venture
Your Company:
Data Analytics

Suresh kumar Gorakala's Blog

Data Science with R

Posted on December 29, 2015 at 9:30am 1 Comment

As R programming language becoming popular more and more among data science group, industries, researchers, companies embracing R, going forward I will be writing posts on learning Data science using R. The tutorial course will include topics on data types of R, handling data using R, probability theory, Machine Learning, Supervised – unSupervised learning, Data Visualization using R, etc. Before going further, let’s just see some stats and tidbits on data science and…


Collaborative Filtering Recommender Systems - Item Based approach

Posted on November 23, 2015 at 7:04pm 0 Comments

In the series of implementing Recommendation engines, in my previous blog about recommendation system in R, I have explained about…

Cross Industry Standard for Data Mining

Posted on October 22, 2015 at 10:59am 2 Comments

Recently I have come across a term, CRISP-DM - a data mining standard. Though this process is not a new one but I felt every analyst should know about commonly used Industry wide process. In this post I will explain about different phases involved in creating a data mining solution. 

CRISP-DM, an acronym for Cross Industry Standard Process for Data Mining, is a data mining process model that includes commonly used approaches that data…


Introduction to Logistic Regression in R

Posted on October 7, 2015 at 9:33pm 0 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 scenario we have to…

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