Correlation and R-Squared for Big Data
Feed: Data Science Research Discussions – Data Science Central Author: Vincent Granville Originally posted on Analyticbridge, by Dr. Granville. Click here to read original article and comments. With...
View ArticleHidden decision trees revisited
Feed: Data Science Research Discussions – Data Science Central Author: Vincent Granville Originally posted on DataScienceCentral, by Dr. Granville. Click here to read original article and comments....
View ArticleInternet topology mapping
Feed: Data Science Research Discussions – Data Science Central Author: Vincent Granville Originally posted on DataScienceCentral, by Dr. Granville. Click here to read original article and comments....
View ArticleFast Combinatorial Feature Selection with New Definition of Predictive Power
Feed: Data Science Research Discussions – Data Science Central Author: Vincent Granville Originally posted on DataScienceCentral, by Dr. Granville. Click here to read original article and comments. In...
View ArticleA synthetic variance designed for Hadoop and big data
Feed: Data Science Research Discussions – Data Science Central Author: Vincent Granville Originally posted on Hadoop36o, by Dr. Granville. Click here to read original article and comments. The new...
View ArticleJackknife logistic and linear regression for clustering and predictions
Feed: Data Science Research Discussions – Data Science Central Author: Vincent Granville Originally posted on DataSciebceCentral, by Dr. Granville. Click here to read original article and comments....
View ArticlePractical illustration of Map-Reduce (Hadoop-style), on real data
Feed: Data Science Research Discussions – Data Science Central Author: Vincent Granville Originally posted on DataScienceCentral, by Dr. Granville. Click here to read original article and comments....
View ArticleHow to detect spurious correlations, and how to find the real ones
Feed: Data Science Research Discussions – Data Science Central Author: Vincent Granville Originally posted on DataSciebceCentral, by Dr. Granville. Click here to read original article and comments....
View ArticleBlack-box Confidence Intervals: Excel and Perl Implementation
Feed: Data Science Research Discussions – Data Science Central Author: Vincent Granville Originally posted here. Check original article for most recent updates. Confidence interval is abbreviated as...
View ArticleAwesome Data Science Repository
Feed: Data Science Research Discussions – Data Science Central Author: Leandro Guerra I was surfing GitHub when I found this repository: Awesome Data Science It has an extensive list of data science...
View ArticleTwitter sentiment analysis with R
Feed: AnalyzeCore – data is beautiful, data is a story. Recently I’ve designed a relatively simple code in R for analyzing Twitter posts content via calculating the number of positive, negative and...
View ArticleTwitter sentiment analysis based on affective lexicons with R
Feed: AnalyzeCore – data is beautiful, data is a story. Continue to dig tweets. After we reviewed how to count positive, negative and neutral tweets in the previous post, I discovered another great...
View ArticleCohort analysis with R – “layer-cake graph”
Feed: AnalyzeCore – data is beautiful, data is a story. Cohort Analysis is one of the most powerful and demanded techniques available to marketers for assessing long-term trends in customer retention...
View ArticleCohort analysis with R – “layer-cake graph” (part 2)
Feed: AnalyzeCore – data is beautiful, data is a story. Continue to exploit a great idea of ‘layer-cake’ graph. If you liked the approach I shared in the previous topic, perhaps, you would have one or...
View ArticleInclude promo/activity effect into the prediction (extended ARIMA model with R)
Feed: AnalyzeCore – data is beautiful, data is a story. I want to consider an approach of forecasting I really like and frequently use. It allows to include the promo campaigns (or another activities...
View ArticleCohort analysis with R – Retention charts
Feed: AnalyzeCore – data is beautiful, data is a story. When we spend more money for attracting new customers then they bring us by the first but, usually, by the next purchases, we appeal to...
View ArticleShopping cart analysis with R – Multi-layer pie chart
Feed: AnalyzeCore – data is beautiful, data is a story. This post was updated on 12/05/2015. In this post, we will review a very interesting type of visualization – the Multi-layer Pie Chart – and use...
View ArticleSequence of shopping carts analysis with R – Sankey diagram
Feed: AnalyzeCore – data is beautiful, data is a story. We studied how we can visualize the structure of a shopping cart in the previous post. Although you can find a great deal of materials on how to...
View ArticleSequence of shopping carts in-depth analysis with R
Feed: AnalyzeCore – data is beautiful, data is a story. Although the sankey diagram from the previous post provided us with a very descriptive tool, we can consider it a rather exploratory analisys. As...
View ArticleSequence of shopping carts in-depth analysis with R – Clustering
Feed: AnalyzeCore – data is beautiful, data is a story. This is the second part of the in-depth sequence analysis. In the previous post, we processed data in the required format, plotted a Sankey...
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