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Archive for the ‘R studio’ Category

R studio

July 10th, 2020

Capstone Project guidelines releasedProject summaries released    29th April 20201st May 2020Selection of projects by the learner    3rd May 2020Projects Data Release date    4th May 2020 Project Notes I submission deadline    17th May 2020First milestone session    23th/24th May 2020Project Notes II submission deadline    1st June 2020Second milestone session    6th/7th June 2020Project Notes III submission deadline    22th […]

Posted in High School, R studio No Comments »

capstone project

July 9th, 2020

Capstone Project guidelines releasedProject summaries released    29th April 20201st May 2020Selection of projects by the learner    3rd May 2020Projects Data Release date    4th May 2020 Project Notes I submission deadline    17th May 2020First milestone session    23th/24th May 2020Project Notes II submission deadline    1st June 2020Second milestone session    6th/7th June 2020Project Notes III submission deadline    22th […]

Posted in High School, R studio No Comments »

Applying classification algorithms to a data set derived from text data, twitter

July 6th, 2020

I need the R code, interpretation of results and variables and reasoning for choosing certain parameters and such for Naive Bayes classifier, J48, logistic regression and SVM. I’m having issues with some functions, it would help me greatly to dedicate time on more important areas of my paper.Data set: first 24 features are predictors, last […]

Posted in Graduate, R studio No Comments »

Hypothesis Testing

June 23rd, 2020

#One sided confidence intervals #For plibrary(regclass)data(“CUSTREACQUIRE”)summary(CUSTREACQUIRE) summary(CUSTREACQUIRE$Reacquire)mean( CUSTREACQUIRE$Reacquire == “Yes” ) #Old reacquire policy got 60% of churned customers. New one is cheaper, and may not be as effective#Ho: p=0.6 vs. HA: p < 0.6binom.test(295,500,alternative = “less”, p=0.6)# 95 percent confidence interval:# 0.0000000 0.6267122#60% is still a plausible value for p, retain Ho #Is the […]

Posted in R studio, Undergraduate No Comments »

R studio

February 4th, 2020

DescriptionThera Bank – Loan Purchase ModelingThis case is about a bank (Thera Bank) which has a growing customer base. Majority of these customers are liability customers (depositors) with varying size of deposits. The number of customers who are also borrowers (asset customers) is quite small, and the bank is interested in expanding this base rapidly […]

Posted in High School, R studio No Comments »

R studio

February 4th, 2020

DescriptionThera Bank – Loan Purchase ModelingThis case is about a bank (Thera Bank) which has a growing customer base. Majority of these customers are liability customers (depositors) with varying size of deposits. The number of customers who are also borrowers (asset customers) is quite small, and the bank is interested in expanding this base rapidly […]

Posted in High School, R studio No Comments »
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