Author:
Sidhamshettiwar Vaishnavi,Gaba Yash,Jadhav Rutika,Gawande Kiran
Reference7 articles.
1. Vafeiadis T, Diamantaras KI, Sarigiannidis G, Chatzisavvas KC (2015) A comparison of machine learning techniques for customer churn prediction. Department of Information Technology, TEI of Thessaloniki, GR-57400 Thessaloniki, Greece
2. Tsai CF, Lu YH (2009) Customer churn prediction by hybrid neural networks. Department of Information Management, National Central University, Taiwan
3. Deloitte (2015) Opportunities in telecom sector: arising from big data. Aegis School of Business, Data Science and Telecommunication
4. https://tinyurl.com/y3oadn9v
5. Li C, Kang Q, Ge G, Song Q, Lu Q, Cheng J (2016) Deep BE: learning deep binary encoding for multi-label classification. In: Proceedings of the IEEE conference on computer vision and pattern recognition workshops, pp 39–46