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....
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Black-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...
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Awesome 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...
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Twitter 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...
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Twitter 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...
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Cohort 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...
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Cohort 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...
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Include 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...
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Cohort 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...
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Shopping 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...
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Sequence 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...
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Sequence 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...
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Sequence 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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Sequence of shopping carts in-depth analysis with R – Sequence of events
Feed: AnalyzeCore – data is beautiful, data is a story. This is the third part of the sequence of shopping carts in-depth analysis. We processed initial data in the required format, did the exploratory...
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Customer segmentation – LifeCycle Grids with R
Feed: AnalyzeCore – data is beautiful, data is a story. I want to share a very powerful approach for customer segmentation in this post. It is based on customer’s lifecycle, specifically on frequency...
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Customer segmentation – LifeCycle Grids, CLV and CAC with R
Feed: AnalyzeCore – data is beautiful, data is a story. We studied a very powerful approach for customer segmentation in the previous post, which is based on the customer’s lifecycle. We used two...
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Cohort Analysis and LifeCycle Grids mixed segmentation with R
Feed: AnalyzeCore – data is beautiful, data is a story. This is the third post about LifeCycle Grids. You can find the first post about the sense of LifeCycle Grids and A-Z process for creating and...
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Cohort Analysis with Heatmap
Feed: AnalyzeCore – data is beautiful, data is a story. Previously I shared the data visualization approach for descriptive analysis of progress of cohorts with the “layer-cake” chart (part I and part...
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Sales Funnel visualization with R
Feed: AnalyzeCore – data is beautiful, data is a story. Sales (purchasing or conversion) Funnel is a consumer-focused marketing model which illustrates the theoretical customer journey towards the...
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Measuring business health with Delta LifeCycle Grids and R
Feed: AnalyzeCore – data is beautiful, data is a story. There are several posts connected with LifeCycle Grids on this blog. If you are not familiar with the concept I highly recommend you to start...
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Cohort analysis: Retention Rate Visualization with R
Feed: AnalyzeCore – data is beautiful, data is a story. When conducting Cohort Analysis, one of the most important measures is Customer Retention Rate. I will share a few ideas for visualizing this...
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Twitter sentiment analysis with Machine Learning in R using doc2vec approach
Feed: AnalyzeCore – data is beautiful, data is a story. Recently I’ve worked with word2vec and doc2vec algorithms that I found interesting from many perspectives. Even though I used them for another...
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Twitter sentiment analysis with Machine Learning in R using doc2vec approach...
Feed: AnalyzeCore – data is beautiful, data is a story. Recently I’ve worked with word2vec and doc2vec algorithms that I found interesting from many perspectives. Even though I used them for another...
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Marketing Multi-Channel Attribution model with R (part 2: practical issues)
Feed: AnalyzeCore – data is beautiful, data is a story. This is the second post about the Marketing Multi-channel Attribution Model with Markov chains (here is the first one). Even though the concept...
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Marketing Multi-Channel Attribution model based on Sales Funnel with R
Feed: AnalyzeCore – data is beautiful, data is a story. This is the last post in the series of articles about using Multi-Channel Attribution in marketing. In previous two articles (part 1 and part 2),...
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Anomaly Detection for Business Metrics with R
Feed: AnalyzeCore by Sergey Bryl’ – data is beautiful, data is a story. The larger and more complex the business the more metrics and dimensions. One day you understand that it is impossible to track...
View Article10 differences between a Kaggle competition and real-life project
Feed: AnalyzeCore by Sergey Bryl’ – data is beautiful, data is a story. This is a guest blog post of my good friend Sergii Makarevych who has vast experience in Kaggle competitions and real-life data...
View ArticleWorldwide COVID-19 spread visualization with R
Feed: AnalyzeCore by Sergey Bryl’ – data is beautiful, data is a story. COVID-19 or Coronavirus pandemic is having an unpredictable and huge impact on our lives, so I wanted to see the speed with which...
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