ezoic

Thursday, May 30, 2019

Classifier for imbalanced data

Classification for imbalanced data can be resolved using re-sampling method, like smote.

Here is an example and some sample scripts

https://towardsdatascience.com/methods-for-dealing-with-imbalanced-data-5b761be45a18

This thesis presented a method for this problem

https://lib.dr.iastate.edu/cgi/viewcontent.cgi?referer=https://www.bing.com/&httpsredir=1&article=4544&context=etd

A balanced approach to the multi-class imbalance problem

R package , climm, climer

Monday, May 27, 2019

Data science blogs

  1. R for Data Science
    https://r4ds.had.co.nz/introduction.html
  2. A Complete Tutorial to learn Data Science in R from Scratch
    https://www.analyticsvidhya.com/blog/2016/02/complete-tutorial-learn-data-science-scratch/
  3. Yhat Blog
    http://blog.yhat.com/
  4. A Complete Tutorial to Learn Data Science with Python from Scratch
    https://www.analyticsvidhya.com/blog/2016/01/complete-tutorial-learn-data-science-python-scratch-2/
  5. R-bloggers
    https://www.r-bloggers.com/
  6. Python Bloggers
    http://www.pybloggers.com/
  7. Data Science Central
    https://www.datasciencecentral.com/
  8. A data scientist's blog
    https://machinelearningmastery.com/blog/
  9. Apache Spark Machine Learning Tutorial
    https://mapr.com/blog/apache-spark-machine-learning-tutorial/
  10. Data Science 101
    https://101.datascience.community/page/2/
  11. Win Vector Blog
    http://www.win-vector.com/blog/
  12. Big data and data science review
    bigdatadatascience.docx
  13. infoq
    https://www.infoq.com/ai-ml-data-eng
  14. datatau
    https://www.datatau.com/
  15. Lambda the Ultimate
    http://lambda-the-ultimate.org/
  16. Simply Statistics
    https://simplystatistics.org/
  17. Statistical Modeling, Casual Inference and Social Science
    https://statmodeling.stat.columbia.edu/
  18. Flowing data
    https://flowingdata.com/
  19. Data 36
    https://data36.com/
  20. Kaggle Blog
    http://blog.kaggle.com/
  21. Linear Digressions
    https://lineardigressions.com/
  22. Towards Data Science
    https://towardsdatascience.com/
  23. Seeing Theory
    https://seeing-theory.brown.edu/
  24. Mode Blog
    https://mode.com/blog/

Consumer analytics blogs


  1. Top 50 blogs on Consumer Analytics
    some of the blogs no longer exist
    https://www.ngdata.com/best-customer-analytics-blogs/
  2. How to Use Customer Behavior Data to Drive Revenue (Like Amazon, Netflix & Google)
    https://www.pointillist.com/blog/customer-behavior-data/
  3. Using R for Customer Analytics
    https://ds4ci.files.wordpress.com/2013/09/ciwr_2introandpracticals.pdf
  4. Customer Analytics: Using Deep Learning With Keras To Predict Customer Churn
    https://www.business-science.io/business/2017/11/28/customer_churn_analysis_keras.html
  5. Marketing Analytics and Data Science
    https://www.r-bloggers.com/marketing-analytics-and-data-science/
  6. Using R to predict if a customer will buy
    https://www.masterdataanalysis.com/r/using-r-predict-customer-will-buy/
  7. Customer Segmentation using python
    http://blog.yhat.com/posts/customer-segmentation-using-python.html
  8. Using R for customer segmentation
    https://ds4ci.files.wordpress.com/2013/09/user08_jimp_custseg_revnov08.pdf
  9. Using r to analyze your customer data warehouse
    https://www.bedrockdata.com/blog/using-r-to-analyze-your-customer-data-warehouse

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