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
I wrote about the solutions to some problems I found from programming and data analytics. They may help you on your work. Thank you.
ezoic
Thursday, May 30, 2019
Tuesday, May 28, 2019
Monday, May 27, 2019
Data science blogs
- R for Data Science
https://r4ds.had.co.nz/introduction.html - A Complete Tutorial to learn Data Science in R from Scratch
https://www.analyticsvidhya.com/blog/2016/02/complete-tutorial-learn-data-science-scratch/ - Yhat Blog
http://blog.yhat.com/ - 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/ - R-bloggers
https://www.r-bloggers.com/ - Python Bloggers
http://www.pybloggers.com/ - Data Science Central
https://www.datasciencecentral.com/ - A data scientist's blog
https://machinelearningmastery.com/blog/ - Apache Spark Machine Learning Tutorial
https://mapr.com/blog/apache-spark-machine-learning-tutorial/ - Data Science 101
https://101.datascience.community/page/2/ - Win Vector Blog
http://www.win-vector.com/blog/ - Big data and data science review
bigdatadatascience.docx - infoq
https://www.infoq.com/ai-ml-data-eng - datatau
https://www.datatau.com/ - Lambda the Ultimate
http://lambda-the-ultimate.org/ - Simply Statistics
https://simplystatistics.org/ - Statistical Modeling, Casual Inference and Social Science
https://statmodeling.stat.columbia.edu/ - Flowing data
https://flowingdata.com/ - Data 36
https://data36.com/ - Kaggle Blog
http://blog.kaggle.com/ - Linear Digressions
https://lineardigressions.com/ - Towards Data Science
https://towardsdatascience.com/ - Seeing Theory
https://seeing-theory.brown.edu/ - Mode Blog
https://mode.com/blog/
Consumer analytics blogs
- Top 50 blogs on Consumer Analytics
some of the blogs no longer exist
https://www.ngdata.com/best-customer-analytics-blogs/ - How to Use Customer Behavior Data to Drive Revenue (Like Amazon, Netflix & Google)
https://www.pointillist.com/blog/customer-behavior-data/ - Using R for Customer Analytics
https://ds4ci.files.wordpress.com/2013/09/ciwr_2introandpracticals.pdf - 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 - Marketing Analytics and Data Science
https://www.r-bloggers.com/marketing-analytics-and-data-science/ - Using R to predict if a customer will buy
https://www.masterdataanalysis.com/r/using-r-predict-customer-will-buy/ - Customer Segmentation using python
http://blog.yhat.com/posts/customer-segmentation-using-python.html - Using R for customer segmentation
https://ds4ci.files.wordpress.com/2013/09/user08_jimp_custseg_revnov08.pdf - Using r to analyze your customer data warehouse
https://www.bedrockdata.com/blog/using-r-to-analyze-your-customer-data-warehouse
Thursday, May 2, 2019
two data science blogs seems pretty good for data science
Win-Vector blog seems pretty good for data science
http://www.win-vector.com/blog/
Data Science Dojo blog
https://blog.datasciencedojo.com/
http://www.win-vector.com/blog/
Data Science Dojo blog
https://blog.datasciencedojo.com/
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