BASM - 2017 Spring
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Updated
Apr 22, 2018 - HTML
BASM - 2017 Spring
Teaching notes from courses on digital information literacy, data management, and data wrangling.
This repository contains project materials for the Spring 2024 STAT 208 class, specifically for Team 8. All materials are the property of Team 8, University of California, Riverside, A. Gary Anderson School of Management. Thank you for viewing our repository.
This repository contains project materials for the Fall 2023 MGT 256 class. This project is completed with assists from Professor Adem Orsdemir.
CekatanBiz is Website tools Data Analyst,Business Analyst and Business Intellgence
A pipeline for market basket analysis aimed at identifying product associations to optimize retail promotions and bundle deals using SQLite, mlxtend & D3.js
This project focuses on credit risk analysis using SQL, Python, and Power BI. We built an end-to-end pipeline that starts with raw loan applicant data and ends with an interactive dashboard for stakeholders to monitor loan defaults.
Responsive Website.
Credit card analysis using python and Jupyter
All the assignments for the subjects of Prededctive Modelling, Inferential Statistcs and business analytics undertaken during Semester VII at NIIT University, Neemrana are updated.
This is my homework in the course of Business Analytics with R, 2019@NCCU
Welcome to SmartLeather.io, the groundbreaking product brought to you by Proxima SmartManage. 🌐 SmartLeather.io is a specialized software solution meticulously crafted for the dynamic leather industry. Embracing cutting-edge AI technology, this platform redefines manufacturing operations and propels business growth into a new era. 🛠️
Comprehensive data science portfolio featuring machine learning models, business analytics, and production-ready implementations with quantified business impact
Lab Sessions - Causal Data Science for Business Analytics (Summer Term 2024)
This repository represents several projects completed in IE HST's MS in Business Analytics and Big Data program, Recommendation Engines course.
This project analyzes e-commerce order fulfillment using Advanced SQL Techniques and Python-based visualization to uncover insights on sales trends, customer segmentation, shipping cost optimization, and payment preferences.
Owner: Dr. Ozge Surer ISA 391 Class Package for Regression
The projects displayed are part of my course in Great Learning - Business Analytics and Business Intelligence
functional values of logical expressions
Simple Dashboard Example
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