Pinned Repositories
AB-Testing-on-Cost-Per-Click-Methods
AB Test between advertising strategies Maximum Bidding and Average Bidding
Amazon--Rating-Product-and-Sorting-Reviews-
A product from Amazon is rated using scientific methods used by e-commerce companies. Thus, reviews belonging to this product have been sorted out based on their helpfulness to the customer.
Anime-Recommender
We have created an Anime Recommendation system based on Item Based Collaborative Filtering.
Association-Rule-Learning-Model
Association Rule Learning Model is performed on a transaction dataset which belongs to a company who provides a platform for freelance workforce.
Cats-Dogs
FLO-Customer-Segmentation-with-RFM-
RFM is implemented to our data provided by a shoemaker company FLO is implement to create customer segments. We have used metrics such as Recency,Frequency, and Monetary to segment customers into different groups.
Forecasting-Customer-Lifetime-Value-using-BG-NBD-and-Gamma-Gamma-Models
Customer Lifetime Value Analysis has been made by implementing BG-NBD and Gamma Gamma Models. Briefly, how valuable is a customer within a given period has been calculated and customers have been segmented into different groups. Based on these values and customer segments companies decide on their marketing and sales strategies.
ICU-Readmission-Predictior-as-Decision-Support-Tool
. In this project, we are developing a web-based application that will serve as a decision support tool for ICU employees when making a decision whether to discharge an ICU patient or not.
Rule-Based-Classification
This project uses customer data belonging to a game company. In this project a new customer definition is created combining all other categorical columns.Project aims to classify the customers and place them on different customer segments based on their payment levels.
onurcanmemis's Repositories
onurcanmemis/Forecasting-Customer-Lifetime-Value-using-BG-NBD-and-Gamma-Gamma-Models
Customer Lifetime Value Analysis has been made by implementing BG-NBD and Gamma Gamma Models. Briefly, how valuable is a customer within a given period has been calculated and customers have been segmented into different groups. Based on these values and customer segments companies decide on their marketing and sales strategies.
onurcanmemis/Amazon--Rating-Product-and-Sorting-Reviews-
A product from Amazon is rated using scientific methods used by e-commerce companies. Thus, reviews belonging to this product have been sorted out based on their helpfulness to the customer.
onurcanmemis/FLO-Customer-Segmentation-with-RFM-
RFM is implemented to our data provided by a shoemaker company FLO is implement to create customer segments. We have used metrics such as Recency,Frequency, and Monetary to segment customers into different groups.
onurcanmemis/AB-Testing-on-Cost-Per-Click-Methods
AB Test between advertising strategies Maximum Bidding and Average Bidding
onurcanmemis/Anime-Recommender
We have created an Anime Recommendation system based on Item Based Collaborative Filtering.
onurcanmemis/Association-Rule-Learning-Model
Association Rule Learning Model is performed on a transaction dataset which belongs to a company who provides a platform for freelance workforce.
onurcanmemis/Cats-Dogs
onurcanmemis/ICU-Readmission-Predictior-as-Decision-Support-Tool
. In this project, we are developing a web-based application that will serve as a decision support tool for ICU employees when making a decision whether to discharge an ICU patient or not.
onurcanmemis/Rule-Based-Classification
This project uses customer data belonging to a game company. In this project a new customer definition is created combining all other categorical columns.Project aims to classify the customers and place them on different customer segments based on their payment levels.
onurcanmemis/Harvest