Otutu11 / Churn-Prediction-for-Freelance-TeamsLinks
☆35Updated 7 months ago
Alternatives and similar repositories for Churn-Prediction-for-Freelance-Teams
Users that are interested in Churn-Prediction-for-Freelance-Teams are comparing it to the libraries listed below
Sorting:
- This project provides a complete workflow for mapping, visualizing, and analyzing noise pollution levels in urban areas using geospatial …☆36Updated 6 months ago
- An intelligent recommendation system that leverages machine learning to suggest optimal team members based on skills, expertise, and comp…☆36Updated 7 months ago
- Forest Fire Risk Prediction model using a machine learning approach (Random Forest Classifier) trained on environmental data (temperature…☆43Updated 3 months ago
- Gantt-Chart-Auto-Generation-from-Task-Descriptions is a tool that transforms plain task descriptions into structured Gantt charts, enabli…☆35Updated 7 months ago
- The Climate Change Trend Analyzer by incorporating regional analyses and additional climate indicators. This will provide a more comprehe…☆38Updated 6 months ago
- A machine learning-based project that predicts future events, trends, or milestones along a timeline using historical data, enabling accu…☆37Updated 7 months ago
- This project uses Sentinel-1 Synthetic Aperture Radar (SAR) imagery and Google Earth Engine to detect oil spills in water bodies through …☆38Updated 6 months ago
- This project provides a simple yet powerful Streamlit dashboard to estimate software development effort using historical project data and…☆37Updated 6 months ago
- A lightweight geospatial workflow for detecting shoreline changes using Sentinel-2 imagery, NDWI, and Google Earth Engine (GEE). It quant…☆39Updated 6 months ago
- Project-Complexity-Classification leverages machine learning to assess and categorize project complexity levels using structured and unst…☆45Updated last month
- Task Duration Estimator in Python. This tool allows users to input tasks and estimate their duration using simple weighted averages based…☆35Updated 6 months ago
- Project Phase Classification applies machine learning techniques to categorize project activities into distinct phases, supporting progre…☆42Updated 3 months ago
- This project demonstrates how to solve a **resource allocation optimization problem** using Python and linear programming (via the `PuLP`…☆36Updated 6 months ago
- This project focuses on assessing the health of mangrove ecosystems using satellite-derived vegetation indices, particularly the Normaliz…☆39Updated 6 months ago
- Stakeholder-Engagement-Level-Detection leverages machine learning and data analytics to assess, classify, and visualize stakeholder engag…☆35Updated 7 months ago
- This project detects water bodies from satellite imagery using remote sensing techniques and image classification algorithms, such as NDW…☆36Updated 7 months ago
- This project applies deep learning (U-Net architecture) to detect marine debris from satellite or drone imagery.☆48Updated last month
- ☆32Updated 7 months ago
- Issue Severity Prediction leverages machine learning to classify and prioritize reported issues based on severity levels. Using textual a…☆43Updated 3 months ago
- Project Schedule Adherence Dashboard is a web-based visualization tool designed to monitor project timelines, task completion progress, a…☆36Updated 6 months ago
- This project explores CO₂ geosequestration in depleted hydrocarbon reservoirs, investigating caprock integrity and the potential role of …☆45Updated last month
- Milestone-Achievement-Forecast is a predictive analytics tool that tracks project progress, evaluates performance indicators, and forecas…☆45Updated last month
- This project implements a basic Rainfall-Runoff Modeling framework using the SCS Curve Number (CN) Method to assess flood risk based on d…☆48Updated last month
- This project implements an Automated ETL (Extract, Transform, Load) Pipeline that fetches daily weather data, processes it, and stores it…☆31Updated 9 months ago
- This project classifies extreme weather events using synthetic data and machine learning techniques. It demonstrates how to generate real…☆40Updated 4 months ago
- Otutu11 / The-impact-of-dam-management-and-rainfall-patterns-on-flooding-in-the-Niger-Delta-Using-Sentinel-1This study explores the influence of dam management practices and rainfall variability on flood patterns in the Niger Delta.☆31Updated 10 months ago
- This project visualizes historical global temperature anomalies, helping to analyze temperature trends and identify significant deviation…☆26Updated 11 months ago
- This project demonstrates a real-time data pipeline designed for IoT sensors that monitor environmental conditions such as temperature an…☆31Updated 9 months ago
- A complete, production-ready solution for renewable energy forecasting that handles real-world challenges like missing data and temporal …☆40Updated 3 months ago
- An AI-driven project for predicting chlorophyll-a concentration and ocean productivity using remote sensing data, machine learning, and o…☆40Updated 4 months ago