trydoff / Product-Demand-Forecasting-Using-MLLinks
Using machine learning to solve one of the most common problem of Supply Chain domain, i.e Demand Forecasting.
☆34Updated 3 years ago
Alternatives and similar repositories for Product-Demand-Forecasting-Using-ML
Users that are interested in Product-Demand-Forecasting-Using-ML are comparing it to the libraries listed below
Sorting:
- This project focuses on time series forecasting to predict store sales for Corporation Favorita, a large Ecuadorian-based grocery retaile…☆15Updated last year
- In depth analysis and forecasting of product sales based on the items, stores, transaction and other dependent variables like holidays an…☆111Updated 7 years ago
- Using Python StatsModel ARIMA to Forecast Time Series of Cars in Walmart Parking Lot☆32Updated 7 years ago
- In this project, I have utilized survival analysis models to see how the likelihood of the customer churn changes over time and to calcul…☆218Updated 2 years ago
- Predict seasonal item sales using classical time-series forecasting methods like Seasonal ARIMA and Triple Exponential Smoothing and curr…☆31Updated 5 years ago
- Supply Chain Optimization with Python☆98Updated 6 months ago
- To design a predictive model using xgboost and voting ensembling techniques and extract insights from the data using pandas, seaborn and …☆42Updated 7 years ago
- ☆221Updated 3 years ago
- Time Series Analysis and Forecasting in Python☆182Updated last year
- End-to-end automated pipeline in Python that forecasts weekly demand for products & recommends corresponding optimal prices for a retail …☆35Updated 5 years ago
- 📈Forecasting Total amount of Products using time-series dataset consisting of daily sales data provided by one of the largest Russian so…☆57Updated 5 years ago
- This project is about predictive maintenance with machine learning. It's a final project of my Computer Science AP degree.☆67Updated 2 years ago
- Forecasts next 24 hours of hourly energy demand with Keras, Prophet, and SARIMA (statsmodels)☆98Updated 2 years ago
- # **ABSTRACT** Main Objective: The main agenda of this project is: Perform extensive Exploratory Data Analys…☆33Updated 3 years ago
- The goal of this notebook is to implement and compare different approaches to predict item-level sales at different store locations.☆36Updated 3 years ago
- A data science project to predict whether a transaction is a fraud or not.☆185Updated 6 months ago
- ☆133Updated 4 years ago
- Built house price prediction model using linear regression and k nearest neighbors and used machine learning techniques like ridge, lasso…☆92Updated last year
- A simple Jupyter Notebook walking through how to perform time series forecasting with Facebook Prophet.☆91Updated 4 years ago
- Machine Learning for Retail Sales Forecasting — Features Engineering☆66Updated 10 months ago
- Time Series Decomposition techniques and random forest algorithm on sales data☆62Updated 3 years ago
- Forecasted product sales using time series models such as Holt-Winters, SARIMA and causal methods, e.g. Regression. Evaluated performance…☆62Updated 5 years ago
- Author: Feras Al-Basha; Research Director: Yossiri Adulyasak; Research Director: Laurent Charlin; MSc in Global Supply Chain Management -…☆47Updated 4 years ago
- Credit Card Fraud Detection App built with Streamlit, FastAPI and Docker.☆49Updated 3 years ago
- Book Projects☆24Updated 4 years ago
- Machine learning model for Credit Card fraud detection☆102Updated 4 years ago
- ☆20Updated 4 years ago
- Demand forecasting of items using three step machine learning model. Clustering - Classification - Prediction