RudrenduPaul / Python-Customer-segmentation-and-consumer-behavior-analysis-using-machine-learningLinks
Segmenting consumer based buying behavior and applying 80/20 rule to identify top customers/products/geographic locations driving 80% of total $ sales
☆13Updated 5 years ago
Alternatives and similar repositories for Python-Customer-segmentation-and-consumer-behavior-analysis-using-machine-learning
Users that are interested in Python-Customer-segmentation-and-consumer-behavior-analysis-using-machine-learning are comparing it to the libraries listed below
Sorting:
- Customer Segmentation, RFM analysis and price elasticity☆18Updated 4 years ago
- Customer & Purchase Analytics using Segmentation, Targeting, Positioning, Marketing Mix, Price Elasticity☆43Updated 4 years ago
- Predict seasonal item sales using classical time-series forecasting methods like Seasonal ARIMA and Triple Exponential Smoothing and curr…☆30Updated 4 years ago
- Analysing the content of an E-commerce database that contains list of purchases. Based on the analysis, I develop a model that allows to …☆134Updated 7 years ago
- This repository consists of collaborative filtering Recommender systems like Similarity Recommenders, KNN Recommenders, using Apple's Tur…☆9Updated last year
- Data Science Portfolio☆14Updated 4 years ago
- End-to-end automated pipeline in Python that forecasts weekly demand for products & recommends corresponding optimal prices for a retail …☆35Updated 5 years ago
- Different clustering approaches applied on different problemsets☆39Updated 4 years ago
- Demand forecasting of items using three step machine learning model. Clustering - Classification - Prediction☆27Updated 4 years ago
- Time Series Decomposition techniques and random forest algorithm on sales data☆59Updated 3 years ago
- This repository consists of predicting dynamic pricing, churn predictions using sales and marketing data for understanding users' behavio…☆74Updated 5 years ago
- This machine learning model (LSTM Time Series model) helps us to forecast demand of a supply chain business problem. This model uses Kera…☆27Updated 7 years ago
- Exploratory Data Analysis of the Automobile Data Set - UCI Machine Learning Repository - Data Science with Python - UPX Academy☆10Updated 6 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…☆205Updated 2 years ago
- AlekhyaBhupati / Demand-Forecasting-Models-for-Supply-Chain-Using-Statistical-and-Machine-Learning-AlgorithmsInternship project☆52Updated 4 years ago
- Simple Customer Segmentation Using Recency/Monetary Matrix (RFM) in Python☆9Updated 5 years ago
- A Classification Problem which predicts if a loan will get approved or not.☆40Updated 2 years ago
- Improve marketing campaign of a Portuguese bank by analyzing their past marketing campaign data and recommending which customer to target☆61Updated 7 years ago
- Author: Feras Al-Basha; Research Director: Yossiri Adulyasak; Research Director: Laurent Charlin; MSc in Global Supply Chain Management -…☆46Updated 4 years ago
- Product Recommender System for Retail Dataset☆14Updated 4 years ago
- The objective of this project is to analyze the 3 million grocery orders from more than 200,000 Instacart users and predict which previou…☆83Updated 2 years ago
- Machine Learning for Retail Sales Forecasting — Features Engineering☆63Updated 7 months ago
- A low capacity and high capacity plant across 5 countries are considered and a linear programming model is built to determine the total l…☆19Updated 3 years ago
- The dataset is of a Global Pharmacy Company. The dataset comprises of Historical sales, Product Information and products which need forec…☆24Updated 5 years ago
- Supply Chain Optimization with Python☆96Updated 4 months ago
- Detecting Frauds in Online Transactions using Anamoly Detection Techniques Such as Over Sampling and Under-Sampling as the ratio of Fraud…☆83Updated 6 years ago
- Customer life time analysis (CLV analysis). We are using Gamma-Gamma model to estimate average transaction value for each customer.☆46Updated 7 years ago
- 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
- Sales forecasting for the supply chain industry.☆11Updated 3 years ago
- Customer segmentation using k-means clustering in python☆58Updated 6 years ago