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cad-lung-tumour-classification-using-ca-and-svm

This project is a desktop-based Computer Aided Diagnosis (CAD) system designed to assist in the early detection of lung tumors from CT scan images. Utilizing Cellular Automata (CA) and Support Vector Machine (SVM) algorithms, it classifies tumors into malignant (cancerous), benign, and normal categories.

campaign_performance_analysis

This repository documents the journey from identifying a business problem to developing and implementing a solution that transforms marketing data analytics capabilities. The goal is to share our approach, insights and results to inspire and guide similar initiatives.

data_warehouse_and_mart

This project showcases a comprehensive data warehousing solution for managing and analyzing employee performance data using PostgreSQL. The data warehouse consists of employee, department, and education information, along with performance metrics, all organized in a snowflake schema.

disease_symptoms_and_patient_profile_eda

This project involves performing Exploratory Data Analysis (EDA) on a dataset containing disease symptoms and patient profiles.

hr_analytics_dashboard

This project focuses on leveraging People Analytics to optimize decision-making in human resource management through insightful data visualizations and dashboards.

insignia_technical_test_da

marketing_analysis_and_etl

This repository is focused on developing a business strategy for the e-commerce company "beliYUK!" through a comprehensive ETL (Extract, Transform, Load) process and data analysis. The goal is to gain insights into customer behavior, optimize marketing campaigns, and improve cost management.

olist_management_dashboard

This project aims to transform raw sales data from Olist Companies into insightful and actionable dashboards using Microsoft Power BI. This dashboards provide critical insights for various management levels, enabling data-driven decision-making and strategic planning.

online_retail_analysis

This project uses advanced data analytics to boost retail performance with a dashboard that includes RFM Segmentation, Clustering, Cohort Analysis, and Predictive Forecasting. It addresses key issues like improving customer retention, enhancing segmentation, understanding customer behavior over time, and forecasting future demand.

statistical_analysis

This repository contains statistical analyses conducted on various datasets related to medical and health factors. The analyses include Spearman correlation, Chi-square test, and Linear Regression to explore relationships and predictive models related to heart attacks and other medical conditions.

uplift_modelling

This repository houses the implementation and analysis of an uplift modeling approach aimed at optimizing marketing promotion campaigns.