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Projects in Awesome Lists by dagiteferi

A curated list of projects in awesome lists by dagiteferi .

https://github.com/dagiteferi/dagiteferi

Config files for my GitHub profile.

config github-config

Last synced: 07 Feb 2025

https://github.com/dagiteferi/user-overview-engagement-and-experience-analysis

Comprehensive analysis of TellCo, focusing on user behavior, engagement, experience, and satisfaction. Includes data preparation, exploratory analysis, dashboard development, and predictive modeling to provide actionable insights for growth opportunities.

behavior-analysis satisfaction-analysis

Last synced: 07 Feb 2025

https://github.com/dagiteferi/financial-news-sentiment-stock-market-correlation-analysis

Analyze financial news sentiment and its correlation with stock market movements. Use NLP, sentiment analysis, and financial analytics to uncover insights for enhanced financial forecasting and innovative investment strategies.

correlation-analysis financial-analysis financial-forecasting sentiment-analysis

Last synced: 07 Feb 2025

https://github.com/dagiteferi/insurance-risk-analytics

Insurance Risk Analytics Comprehensive data analytics project to optimize car insurance strategies for AlphaCare Insurance Solutions. Includes EDA, statistical modeling, and A/B testing to identify low-risk clients and enhance marketing effectiveness using historical insurance claim data.

Last synced: 07 Feb 2025

https://github.com/dagiteferi/search-and-sort-algorithms-using-c-

in this program you can find #search #algorithms(#Linear_search, #Binary_search in descend and ascend order) and #Sort #algorithms(#buble,#Inserttion,#selection_sort)

Last synced: 07 Feb 2025

https://github.com/dagiteferi/fifs

Last synced: 07 Feb 2025

https://github.com/dagiteferi/attendance-system

QR base Attendance system

Last synced: 07 Feb 2025

https://github.com/dagiteferi/solar-farm-data_analysis

for MoonLight Energy Solutions focuses on crafting a strategic approach to enhance operational efficiency and sustainability through targeted solar investments. KAIM -W0

Last synced: 07 Feb 2025

https://github.com/dagiteferi/avl-tree-implementation

AVL Tree Implementation --------------------- 1.Insert Element into the tree 2.Delete Element into the tree 3.Display Balanced AVL Tree 4.InOrder traversal 5.PreOrder traversal 6.PostOrder traversal 7.Exit Enter your Choice:

Last synced: 07 Feb 2025

https://github.com/dagiteferi/spiritual-tracker

Spiritual Tracker App for Ethiopian Gospel Believers Church Overview The Spiritual Tracker App supports the spiritual journey of the Ethiopian Gospel Believers Church community. It provides daily Bible verses and devotions, a platform for prayer requests, an event calendar, and access to sermon recordings.

dart flutter mobile-app

Last synced: 07 Feb 2025

https://github.com/dagiteferi/sales-prediction-model

An end-to-end machine learning solution for forecasting sales across all stores of Rossmann Pharmaceuticals in several cities, six weeks ahead. Accurate sales predictions will assist the finance team in better planning and decision-making

flask ml salce-prediction xgboost

Last synced: 07 Feb 2025

https://github.com/dagiteferi/ethiomart-amharic-nerllm-model

This repository focuses on fine-tuning Named Entity Recognition (NER) models for the Amharic language, aimed at extracting key entities such as product names, prices, and locations from Ethiopian-based e-commerce Telegram channels.Dataset Source: Telegram e-commerce channels (e.g. @mertteka)

Last synced: 07 Feb 2025

https://github.com/dagiteferi/ethiopian-medical-datawarehouse

Building a data warehouse for Ethiopian medical businesses by scraping data from Telegram channels. The project integrates object detection using YOLO and provides CRUD operations via FastAPI to enable comprehensive data analysis and user interaction.

data-scraping data-warehouse fastapi postgresql yolo

Last synced: 30 Jan 2025

https://github.com/dagiteferi/fraud-detection-models

This project aims to develop the detection of fraudulent transactions in e-commerce using advanced machine learning techniques.It involves data analysis, preprocessing, feature engineering, model building, and deployment.The project includes API with Flask, containerization with Docker, and dashboards with Dash .

Last synced: 07 Feb 2025