Language Breakdown
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I-Shaped Developer
I-shapedSpecialist — deep expertise in Python
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10
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0
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+18%
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Taylan Özgür Bildik
@taylanbildik
Sercan Yeşilöz
@sercanyesiloz
Oğuz Erdoğan
@oguzerdo
Birgül Ceryan
@birgulceryan
Onur Halit Yenice
@onurhalityenice
Top Repositories
An algorithm for the teachers that predicts which topic students should work on.
The largest online service platform of Turkey, Armut's data set containing the service users, the services and categories these users have received has been studied. A product recommendation system was established with the Association Rule Learning method and Aprirori Algorithm..
This dataset includes product categories and various metadata of Amazon.com. The products with the most comments in the electronics category has user ratings and comments.
Facebook introduced the average bidding method to users as an alternative to the current bidding method, maximum bidding. Our e-commerce client wants to know which of these methods leads to more conversions with various click and purchase data. We handled the business problem statistically with the AB Test.
It is the project of estimating the potential value that existing customers will provide to the company in the future so that they can make medium-long-term plans with Flo Merchandising data.
With Flo Retailing data, we present the roadmap needed to deliver new campaigns to the right customer base with RFM analysis.
It is a classification project in which we group according to the returns of the customers, taking into account the demographic characteristics of the customers, and estimate the returns of the new customers with the demographic features.
Iyzico is a financial technology company that facilitates the online shopping experience for both buyers and sellers. It provides payment infrastructure for e-commerce companies, marketplaces and individual users. Using the LightGBM model, the first 3 years of 2021 For the month, the total transaction volume was estimated on the basis of member merchants and days.
Clustering customers and explaining behavior patterns were carried out by applying machine learning / unsupervised learning methods with Flo Shoes data.
Telco churn data revealed fictitious home phone and Internet services to 7,043 California customers in the third quarter. Contains information about a telecom company. Which customers have left, stayed or signed up for their service shows.
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