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.
☆31Updated 4 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…☆17Updated last year
- In this project, I have utilized survival analysis models to see how the likelihood of the customer churn changes over time and to calcul…☆224Updated 2 years ago
- In depth analysis and forecasting of product sales based on the items, stores, transaction and other dependent variables like holidays an…☆113Updated 7 years ago
- Supply Chain Optimization with Python☆100Updated 7 months ago
- Stacking of individual Ensemble methods to predict Bike Rental count at any hour of the year☆14Updated 6 years ago
- Machine learning model for Credit Card fraud detection☆105Updated 4 years ago
- Demand forecasting of items using three step machine learning model. Clustering - Classification - Prediction☆29Updated 4 years ago
- Detecting Frauds in Online Transactions using Anamoly Detection Techniques Such as Over Sampling and Under-Sampling as the ratio of Fraud…☆84Updated 6 years ago
- This project is about predictive maintenance with machine learning. It's a final project of my Computer Science AP degree.☆69Updated 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
- Machine Learning for Retail Sales Forecasting — Features Engineering☆67Updated 11 months 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
- Time Series Analysis and Forecasting in Python☆187Updated last year
- Forecasts next 24 hours of hourly energy demand with Keras, Prophet, and SARIMA (statsmodels)☆98Updated 2 years ago
- ☆135Updated 4 years ago
- In this section, I begin with the excel file of sales data, which I obtained from the Tableau Community Forum. As a recall, the data cont…☆29Updated 5 years ago
- Detect Fraudulent Credit Card transactions using different Machine Learning models and compare performances☆78Updated 4 years ago
- Time series forecasting using LSTM in Python☆100Updated last year
- A data science project to predict whether a transaction is a fraud or not.☆191Updated 7 months 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
- Predictive_Maintenance_using_Machine-Learning_Microsoft_Casestudy☆126Updated 7 years ago
- Inventory Management for Retail — Deterministic Demand☆16Updated 7 months ago
- # **ABSTRACT** Main Objective: The main agenda of this project is: Perform extensive Exploratory Data Analys…☆34Updated 4 years ago
- ☆220Updated 3 years ago
- Time Series Decomposition techniques and random forest algorithm on sales data☆62Updated 3 years ago
- Exponential Smoothing, SARIMA, Facebook Prophet☆12Updated 4 years ago
- Senior Supply Chain Engineer using Data Science for Operational Excellence☆20Updated this week
- 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
- To design a predictive model using xgboost and voting ensembling techniques and extract insights from the data using pandas, seaborn and …☆46Updated 7 years ago
- Predicting Global Supply Chain Outcomes for Essential HIV Medicines using Machine Learning Techniques☆42Updated 5 years ago