DavieObi / Demand-Forecasting-and-Inventory-OptimizationLinks
This project applies time series forecasting (ARIMA) to predict product demand and optimize inventory management. By analyzing historical demand and stock levels, it calculates reorder points, safety stock, and optimal order quantities to minimize costs, prevent stockouts, and improve service efficiency.
☆44Updated 3 weeks ago
Alternatives and similar repositories for Demand-Forecasting-and-Inventory-Optimization
Users that are interested in Demand-Forecasting-and-Inventory-Optimization are comparing it to the libraries listed below
Sorting:
- The Smart Loan Recovery System is an AI-driven solution that predicts loan default risk using ML, segments borrowers, and assigns dynamic…☆53Updated 2 weeks ago
- Open-source Python-based fitness tracker web app using Flask. Features include workout logging, nutrition tracking, and progress visualiz…☆52Updated 3 weeks ago
- An in-depth stock data analysis project covering descriptive stats, time series, correlation, and a risk-return profile for AAPL, GOOG, M…☆41Updated 3 weeks ago
- Deep dive into global CO2 emissions & temperature changes. Quantifies trends, correlations, and explores lagged effects & causality. Util…☆42Updated 3 weeks ago
- An analysis of recruitment survey data, focusing on demographics and question responses. The project involved data cleaning, including dr…☆41Updated 3 weeks ago
- Analyzing mental health survey data to uncover prevalence, challenges, and influencing factors. Using visualizations & hierarchical clust…☆56Updated 2 weeks ago
- This project focuses on predicting customer churn for a bank using machine learning. By analyzing features like credit score, age, balanc…☆44Updated last week
- Unlocking Melbourne's housing market secrets! This project demystifies property prices by training a Random Forest model on key features.…☆42Updated 3 weeks ago
- This project uses machine learning to detect credit card fraud. It aims to accurately identify rare fraudulent transactions, minimizing f…☆42Updated last week
- This project performs a subscription cohort analysis and predictive modeling using Python. It includes data preprocessing, feature engine…☆41Updated 3 weeks ago
- An unsupervised machine learning project that clusters Spotify songs into 10 unique "music segments" based on key audio features like BPM…☆41Updated last week
- Heart disease is one of the leading causes of death worldwide, and early detection can greatly improve outcomes. This project applies mac…☆51Updated 2 weeks ago
- This project uses a Random Forest model to predict electricity prices (SMPEP2) from environmental, market, and time-series data. Through …☆40Updated 3 weeks ago
- Predicts Indian flight prices using Python, Scikit-learn, and Streamlit. Features like airline, route, time, and stops feed a linear regr…☆42Updated 3 weeks 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, …☆56Updated 2 weeks ago
- Analyzed Netflix 2023 viewership data to optimize content strategy. Identified shows as key engagement drivers, highlighted strong non-En…☆40Updated last week
- This project analyzes Instagram data to uncover engagement patterns, examining how posting days and hashtags impact impressions, likes, c…☆43Updated last week
- Developed a machine learning model to predict loan approval status. Key steps include EDA, handling missing values & outliers, feature en…☆42Updated 3 weeks 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 weeks 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…☆43Updated last week
- A data-driven project predicting used car prices through EDA and a Linear Regression model. Insights revealed strong effects of year, mil…☆42Updated 3 weeks ago
- This project performs user profiling on online behavior and demographic data to segment users into distinct personas using K-means cluste…☆43Updated 3 weeks ago
- This script automates the migration of content from a WordPress site to a Sanity CMS project. It fetches all pages and posts from WordPre…☆15Updated 7 months ago
- This guide provides a step-by-step process for migrating posts and media assets from WordPress to Storyblok.☆15Updated 7 months ago
- ☆11Updated 5 years ago
- Welcome to the ML Playground! Dive into ML—explore, experiment, and learn with projects, datasets, and algorithms. Beginners and enthusia…☆17Updated last year
- The official Isotopic SDK for Unity☆31Updated last year
- ☆72Updated last year
- ☆74Updated last year
- In this repository there's a youtube backend source code☆73Updated last year