Hasan Hüseyin COŞGUN's Projects
A fast food chain plans to add a new item to its menu. However,
AWS Lambda SQS S3 Pipeline
This type of analysis is often used by travel agencies to gain insights into customer behavior, preferences, and trends, which can then be used to optimize marketing strategies, personalize recommendations, and improve overall customer satisfaction.
A CRUD application using Flask, PostgreSQL, and Docker
Customer lifetime value quantifies the significance of a customer to your company, encompassing not only individual purchases but the entirety of the customer-company relationship.
Customer segmentation is a way to identify groups of similar customers. Customers can be segmented on a wide variety of characteristics, such as demographic information, purchase behavior, and attitudes.
This repo is for generating data from existing dataset to a file or producing dataset rows as message to kafka in a streaming manner.
This repo contains datasets used in trainings.
In this Power BI project, we'll look at a real online store's data to find out useful things for a pet supply company called Whiskique.
Salaries of jobs in the Data Science domain
In this project, we will query the local and global fitness landscape to identify the international niche for our fitness products. We will use pandas to analyze data related to online interest in home gyms, gym workouts, home workouts, and fitness products.
My personal repository.
This repo contains a variety of cloud and local applications using Raspberry Pi.
Simple and advanced imputation; drop, mode, median, KNN, MICE
New York City is the most populous city in the United States and one of the most populated metropolitan areas in the world.
In this study, EDA(Exploratory Data Analysis) and then RFM(Recency, Frequency, Monetary Value) analysis is performed using the Online Retail dataset.
How to Install PostgreSQL Using Docker and Docker Compose ?
The main aim is to determine whether a patient is at risk of diabetes based on various characteristics and features.
Building a Reccomendation System for an ecommerce site
This study focuses on examining how well a store is doing by looking at its products, customers, and employees. We're trying to understand how the things it sells, the people who buy them, and the staff working there all contribute to the overall performance of the store.
Snake game with turtle library.
It's time to gain experience by making SQL queries with different data sets.
Time to discover the world of Window Functions with examples; lead( ), lag( ), first_value( ), last_value( ), row_number( ), rank( ), dense_rank( ) …
PCA (Principal Component Analysis) - t-SNE (t-distributed Stochastic Neighbor Embedding)