DavieObi / Recruitment-Survey-AnalysisLinks
An analysis of recruitment survey data, focusing on demographics and question responses. The project involved data cleaning, including dropping irrelevant columns and renaming others for clarity, followed by an exploration of key insights into the workforce's characteristics and opinions.
☆40Updated 2 months ago
Alternatives and similar repositories for Recruitment-Survey-Analysis
Users that are interested in Recruitment-Survey-Analysis are comparing it to the libraries listed below
Sorting:
- An in-depth stock data analysis project covering descriptive stats, time series, correlation, and a risk-return profile for AAPL, GOOG, M…☆40Updated 2 months ago
- Open-source Python-based fitness tracker web app using Flask. Features include workout logging, nutrition tracking, and progress visualiz…☆53Updated 2 months ago
- The Smart Loan Recovery System is an AI-driven solution that predicts loan default risk using ML, segments borrowers, and assigns dynamic…☆52Updated 2 months ago
- Predicts Indian flight prices using Python, Scikit-learn, and Streamlit. Features like airline, route, time, and stops feed a linear regr…☆41Updated 2 months ago
- Analyzed Netflix 2023 viewership data to optimize content strategy. Identified shows as key engagement drivers, highlighted strong non-En…☆39Updated 2 months ago
- This project analyzes Instagram data to uncover engagement patterns, examining how posting days and hashtags impact impressions, likes, c…☆42Updated 2 months ago
- Fit-track-pro is an open-source fitness tracking web app built with Python and Flask. Users can log workouts, set goals, track progress, …☆55Updated last month
- This project uses machine learning to detect credit card fraud. It aims to accurately identify rare fraudulent transactions, minimizing f…☆42Updated 2 months ago
- This project applies time series forecasting (ARIMA) to predict product demand and optimize inventory management. By analyzing historical…☆43Updated 2 months ago
- An unsupervised machine learning project that clusters Spotify songs into 10 unique "music segments" based on key audio features like BPM…☆40Updated 2 months ago
- This project performs a subscription cohort analysis and predictive modeling using Python. It includes data preprocessing, feature engine…☆40Updated 2 months ago
- Deep dive into global CO2 emissions & temperature changes. Quantifies trends, correlations, and explores lagged effects & causality. Util…☆42Updated 2 months ago
- This project focuses on predicting customer churn for a bank using machine learning. By analyzing features like credit score, age, balanc…☆43Updated 2 months ago
- Unlocking Melbourne's housing market secrets! This project demystifies property prices by training a Random Forest model on key features.…☆41Updated 2 months ago
- Analyzing mental health survey data to uncover prevalence, challenges, and influencing factors. Using visualizations & hierarchical clust…☆55Updated 2 months ago
- Heart disease is one of the leading causes of death worldwide, and early detection can greatly improve outcomes. This project applies mac…☆51Updated 2 months ago
- Developed a machine learning model to predict loan approval status. Key steps include EDA, handling missing values & outliers, feature en…☆42Updated 2 months ago
- Developed a dynamic pricing model for a ride-sharing service to optimize fares in real-time. Conducted data analysis, engineered supply-d…☆59Updated 2 months ago
- Predict heart failure risk with an XGBoost ML model on clinical data. Features are engineered, scaled, and deployed via a Flask web app f…☆42Updated 2 months ago
- A data-driven project predicting used car prices through EDA and a Linear Regression model. Insights revealed strong effects of year, mil…☆42Updated 2 months ago
- This project uses a Random Forest model to predict electricity prices (SMPEP2) from environmental, market, and time-series data. Through …☆42Updated 2 months ago
- This project performs user profiling on online behavior and demographic data to segment users into distinct personas using K-means cluste…☆42Updated 2 months ago
- The Real Estate House Price & Analytics Predictor is an advanced, interactive web application built with Streamlit, designed to provide r…☆19Updated 2 months ago
- This repository explores a variety of data visualization techniques, with a particular focus on applications in the hospitality domain. I…☆43Updated 2 months ago
- The Project promising solution to revolutionize waste management. By leveraging IoT technology, it enables real-time monitoring, efficien…☆24Updated last year
- ☆13Updated 2 years ago
- Student Performance Analysis and Prediction is a data-driven approach to evaluating and forecasting academic outcomes based on various fa…☆18Updated 5 months ago
- Headway - Selenium Maven TestNG POM Data Driven Framework☆18Updated 5 months ago
- This project is built by Next.js + Nest.js☆17Updated 2 years ago
- Backend application for image recognition project.☆10Updated 2 years ago