implementing an end-to-end tweets ETL/Analysis pipeline.
-
Updated
Dec 8, 2022 - Python
8000
implementing an end-to-end tweets ETL/Analysis pipeline.
This project aims to predict customer booking behaviors by classifying them into three categories: Booked and Canceled Booked and Checked Out Booked and Did Not Show
My course work for subject "Fundamentals of automated information systems". It contains a realization of a DB for an insurance company. Done with T-SQL, using MS SQL Server, SSIS, SSRS. 3rd year, National Research Nuclear University MEPhI
Web scraping project using Scrapy and Selenium to gather job postings in Vietnam (vietnamworks, topcv, linkedin)
Design and Implementation of a Data Warehouse for a Retail Store
This repository showcases my university "Laboratory of Data Science" project. It encompasses the implementation of a data warehouse, ETL process, Data Cube, MDX queries, and an interactive dashboard.
Final project for the Laboratory of Data Science module of the Decision Support Systems course (Università di Pisa, MSc Data Science and Business Informatics)
💥 Empower Your Twitter Strategy with Sentiment Classification!
This project aims to predict customer booking behaviors by classifying them into three categories: Booked, Canceled booking, Checked out, and Did not show up.
Add a description, image, and links to the ssis topic page so that developers can more easily learn about it.
To associate your repository with the ssis topic, visit your repo's landing page and select "manage topics."