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Sefercan Apaydın's Projects

100_days_of_code icon 100_days_of_code

In this repo, I am going to share the projects that I've completed in "100 days of code: The Complete Python Pro Bootcamp" course from London App Brewery.

ab_testing_case_study icon ab_testing_case_study

In this project, I analyzied performance of two different approaches called maximumbidding and average bidding in a company. To find out if there is any difference, I applied A/B testing on mean of purchase numbers in both approaches. This was a case study in Data science and Machine learning Bootcamp in Miuul

apriori_algorithm_arl_on_armut icon apriori_algorithm_arl_on_armut

Armut is a online service platform, brings together service providers and those who want to receive services such as cleaning and renovation. By using the dataset that includes users who received services and the categories of these services, a product recommendation system is created with Association Rule Learning.

customer_segmentation_with_cltv icon customer_segmentation_with_cltv

In this project, customers in FLO retail store, are segmented by using CLTV method. BG-NBD and Gamma-Gamma models are used to calculate customer future behaviour. This is a case study in my Data Science & Machine Learning Bootcamp by Miuul

customer_segmentation_with_rfm icon customer_segmentation_with_rfm

In this project, customers in FLO retail store, are segmented by using RFM metrics. This is a case study in my Data Science & Machine Learning Bootcamp by Miuul

kaggle_notebooks icon kaggle_notebooks

My studies, projects related with data science that I've done in kaggle

rating_products_and_sorting_reviews_in_amazon icon rating_products_and_sorting_reviews_in_amazon

In this case study, I calculated the Average Rating by giving more weight current reviews and compare it with the existing average rating. Then I determined 20 reviews that will be displayed on the product detail page for the product by using sorting algorithms.

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