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Saturday, April 18, 2015
Predicting Fraudulent Transactions in R: Part 5. Normalized Distance to Typical Price
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Hello Readers, Here we delve into a quick evaluation of quality metrics of the rankings of unlabeled reports. Previously we relied on label...
3 comments:
Saturday, March 28, 2015
Predicting Fraudulent Transactions in R: Part 4. Model Criterion, Precision & Recall
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Hello Readers, Before we start creating classification models to predict fraudulent transactions, we need to understand how to evaluate mod...
10 comments:
Tuesday, January 27, 2015
Predicting Fraudulent Transactions in R: Part 3. Handling Transaction Outliers
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Hello Readers, Welcome back! In this post we continue our case study on Detecting Fraudulent Transactions . In Part 2 , we cleaned/imputed ...
3 comments:
Monday, September 29, 2014
Handling Large Data with SQL Server
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Hello Readers, Big Data is all the rage these days. On this blog we have mainly used R as our analysis program of choice (sorry Python) to ...
1 comment:
Wednesday, September 24, 2014
Natural Language Processing in Python: Part 4. Frequency Distributions, Word Selections, & Collocations
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Hello Readers, We settle into Part 4 of the Text Analysis Series with Python by examining frequency distributions, word selections, and co...
2 comments:
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