majd30 Goto Github PK
Name: Ayadi Mohamed Majd
Type: User
Bio: Senior Student at TBS. studying Business Analysis & Marketing. Interested in Data analysis and Machine learning
Location: Boumhal , Ben arous
Name: Ayadi Mohamed Majd
Type: User
Bio: Senior Student at TBS. studying Business Analysis & Marketing. Interested in Data analysis and Machine learning
Location: Boumhal , Ben arous
This repository features a predictive model aimed at income prediction, classifying individuals into two categories: ">50k" or "<=50k" based on various features. The model is designed to assist in demographic and economic analysis, aiding in the identification of individuals with higher income potential
This repository offers a robust analysis of bike store sales, utilizing an MS Access database, multiple Excel files, and a Power BI dashboard. With these components, it provides a comprehensive overview of sales performance, inventory management, and customer insights, making it a valuable resource for decision-making within the bike retail sector.
A Power BI dashboard within this repository presents essential employee information, including age, city, gender, joining year, education, experience, job status, payment tier etc. This visualization assists in HR and management decision-making for employee retention, compensation, and resource allocation.
This repository hosts a predictive model designed to estimate flight ticket prices. Using historical flight data, the model employs machine learning algorithms for Regression like : Decision Tree , Random Forest and Linear Regression to forecast ticket prices, aiding travelers in making informed booking decisions and airlines in optimizing pricing
This repository features a Power BI project with a comprehensive dashboard that provides an in-depth analysis of global superstore sales data, offering valuable insights into sales performance, customer behavior, and product trends
This repository contain a model aimed to forecast hotel booking cancellations to improve reservation management, occupancy rates, and customer service by identifying potential cancellations in advance. It utilized Random Forest and Logistic Regression for predictive modeling
In order to inform decisions about an optimal marketing budget, the project uses multiple regression analysis to assess the impact of TV, radio, and newspaper ad budgets on Company X's sales.
This repository contains a restaurant review database consisting of diverse datasets, including "consumer_preferences" , "consumers" , "ratings" , "restaurant-cuisines," and "restaurants". These datasets collectively provide a rich source of information for understanding consumer behavior, preferences, and the performance of various restaurants
This repository features a safety dashboard created in Excel, encompassing key inputs such as injury location, gender, age, incident type, and incident cost. This dashboard provides a visual and data-driven representation of safety incidents, aiding organizations in tracking and analyzing workplace safety data to improve overall safety measures
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