kuta-ndze / PriceOptimizationLinks
Historical Sales Using Price Elasticity to determine customer responsiveness to future price changes
☆24Updated 3 years ago
Alternatives and similar repositories for PriceOptimization
Users that are interested in PriceOptimization are comparing it to the libraries listed below
Sorting:
- n this machine learning pricing project, we implement a retail price optimization algorithm using regression trees. This is one of the fi…☆21Updated 5 years ago
- Machine Learning for Streaming Data with Python, published by Packt☆73Updated last month
- Customer & Purchase Analytics using Segmentation, Targeting, Positioning, Marketing Mix, Price Elasticity☆50Updated 5 years ago
- A comprehensive credit risk model and scorecard using data from Lending Club☆148Updated 4 years ago
- Data Cleaning and Exploration with Machine Learning☆61Updated last month
- Sell Out Sell In Forecasting project implemented at Nestlé☆21Updated 3 years ago
- Awesome list and projects of Time Series☆29Updated 2 years ago
- Comet for Data Science, published by Packt☆42Updated last month
- This repository hosts code for my Time Series videos part of playlist here - https://www.youtube.com/playlist?list=PL3N9eeOlCrP5cK0QRQxeJ…☆265Updated 3 years ago
- This repository consists of predicting dynamic pricing, churn predictions using sales and marketing data for understanding users' behavio…☆79Updated 5 years ago
- Time Series Decomposition techniques and random forest algorithm on sales data☆62Updated 3 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
- An end-to-end tutorial to forecast the M5 dataset using feature engineering pipelines and gradient boosting.☆20Updated 2 years ago
- Machine Learning for Retail Sales Forecasting — Features Engineering☆68Updated 2 weeks ago
- References to the Medium articles☆86Updated 3 years ago
- Repository with data, starter notebooks, and solution notebooks for my course Applied Time Series Forecasting in Python☆63Updated 5 months ago
- Succinct Machine Learning algorithm implementations from scratch in Python, solving real-world problems (Notebooks and Book). Examples of…☆187Updated 2 years ago
- End-to-end automated pipeline in Python that forecasts weekly demand for products & recommends corresponding optimal prices for a retail …☆40Updated 6 years ago
- Kubeflow installation on windows 10/11☆17Updated 3 years ago
- Portfolio in Python☆48Updated 2 years ago
- Slides for "Feature engineering for time series forecasting" talk☆64Updated 3 years ago
- Code repository for the online course Hyperparameter Optimization for Machine Learning☆133Updated last year
- Supply Chain Optimization with Python☆105Updated last week
- Official code repo for the O'Reilly Book - Machine Learning for High-Risk Applications☆105Updated 2 years ago
- Example Repo for the Udemy Course "Deployment of Machine Learning Models"☆20Updated 5 years ago
- The repository contains a list of projects which I will work on while learning and implementing MLOps.☆80Updated 2 years ago
- Code repository for the book feature selection in machine learning☆38Updated 9 months ago
- ☆14Updated 3 years ago
- A comprehensive exploration of Statistics and Probability Theory concepts, with practical implementations in Python☆149Updated 10 months ago
- The goal of this notebook is to implement and compare different approaches to predict item-level sales at different store locations.☆36Updated 4 years ago