milonigada09 / Supply-Chain-forecasting-deep-learningLinks
In this project, we leverage Deep Learning algorithms to build robust forecasting system that monitors the change in the demand side and aligns the supply side to make up for the inaccuracy of the forecasts and randomness in demand, helping retailers increase their inventory and planning efficiency.
☆21Updated 2 years ago
Alternatives and similar repositories for Supply-Chain-forecasting-deep-learning
Users that are interested in Supply-Chain-forecasting-deep-learning are comparing it to the libraries listed below
Sorting:
- Supply Chain Optimization with Python☆102Updated last month
- In this project, I have utilized survival analysis models to see how the likelihood of the customer churn changes over time and to calcul…☆237Updated 3 years ago
- Bank customers churn dashboard with predictions from several machine learning models.☆63Updated 2 years ago
- What is CLV or LTV? CLV or LTV is a metric that helps you measure the customer's lifetime value to a business. In this kernel, I am shari…☆158Updated 3 years ago
- Customer & Purchase Analytics using Segmentation, Targeting, Positioning, Marketing Mix, Price Elasticity☆50Updated 5 years ago
- Using machine learning to solve one of the most common problem of Supply Chain domain, i.e Demand Forecasting.☆34Updated 4 years ago
- This project focuses on time series forecasting to predict store sales for Corporation Favorita, a large Ecuadorian-based grocery retaile…☆17Updated 2 years ago
- An end-to-end data engineering pipeline that fetches real-time YouTube analytics and streams them through Kafka for processing with ksqlD…☆14Updated 2 years ago
- Customer-base segmentation over e-commerce sales data☆27Updated 5 years ago
- Forecasted product sales using time series models such as Holt-Winters, SARIMA and causal methods, e.g. Regression. Evaluated performance…☆67Updated 6 years ago
- Generative AI with Large Language Models on Coursera offered by Deeplearning.AI and AWS.☆52Updated 2 years ago
- ☆44Updated 2 years ago
- ☆13Updated 2 years ago
- Machine Learning for Retail Sales Forecasting — Features Engineering☆67Updated last year
- In this project, a RFM model is implemented to relate to customers in each segment. Assessed the Data Quality, performed EDA using Pytho…☆83Updated 4 years ago
- ☆41Updated last year
- Customer Analytics for a FMCG company (K-means clustering, PCA, logistic regression, linear regression)☆19Updated 4 years ago
- # **ABSTRACT** Main Objective: The main agenda of this project is: Perform extensive Exploratory Data Analys…☆33Updated 4 years ago
- Solved end-to-end machine learning projects☆37Updated 2 years ago
- Predicting Global Supply Chain Outcomes for Essential HIV Medicines using Machine Learning Techniques☆43Updated 6 years ago
- 70+ DataCamp Course Notes, Projects, Codes, Exercises on Python, R and SQL with full DS & ML Certification,☆57Updated 2 years ago
- ☆138Updated 4 years ago
- End-to-End deployment of E-commerce customers segmentation using Clustering Machine learning algorithms in Google Cloud Platform and MLOp…☆19Updated last year
- ☆25Updated 3 years ago
- Course Material - Data Science Program☆15Updated 2 years ago
- 5 machine learning techniques to forecast product sales☆143Updated 2 years ago
- ☆133Updated last year
- Data Science Study Notes + Projects☆21Updated 3 years ago
- Credit Card Fraud Detection App built with Streamlit, FastAPI and Docker.☆58Updated 3 years ago
- Machine Learning Cheatsheet 2024☆143Updated last year