Churn Analytics in E-commerce
A Python project to predict Churn Rate in E-commerce through EDA, Data Processing, ML Prediction, and Recommendations.
A Python project to predict Churn Rate in E-commerce through EDA, Data Processing, ML Prediction, and Recommendations.
Using the RFM (Recency, Frequency, Monetary) Analysis technique to segment customers
The process of data analysis using SQL and PowerBI to find the healthy employees for the bonus and highlight insights from the data.
Published in Journal 1, 2009
This paper is about the number 1. The number 2 is left for future work.
Recommended citation: Your Name, You. (2009). "Paper Title Number 1." Journal 1. 1(1). http://academicpages.github.io/files/paper1.pdf
Published in Journal 1, 2010
This paper is about the number 2. The number 3 is left for future work.
Recommended citation: Your Name, You. (2010). "Paper Title Number 2." Journal 1. 1(2). http://academicpages.github.io/files/paper2.pdf
Published in Journal 1, 2015
This paper is about the number 3. The number 4 is left for future work.
Recommended citation: Your Name, You. (2015). "Paper Title Number 3." Journal 1. 1(3). http://academicpages.github.io/files/paper3.pdf
Published in , 1900
A senior student in International Economics at HCMC Open University, with an understanding of Economics, practical experience with Researching (Qualitative & Quantitative), and Time-series forecasting. Who is an enthusiast in the data world and learning Data Analytics currently.
Published:
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Published:
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Undergraduate course, University 1, Department, 2014
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Workshop, University 1, Department, 2015
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