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
☆14Updated 6 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 & Purchase Analytics using Segmentation, Targeting, Positioning, Marketing Mix, Price Elasticity☆48Updated 4 years ago
- Customer Segmentation, RFM analysis and price elasticity☆19Updated 5 years ago
- Data Science Portfolio☆15Updated 4 years ago
- Price Elasticities and Purchase Incidence Model☆14Updated 5 years ago
- Sell Out Sell In Forecasting project implemented at Nestlé☆20Updated 3 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 …☆135Updated 7 years ago
- Product Recommender System for Retail Dataset☆14Updated 5 years ago
- Customer segmentation using k-means clustering in python☆59Updated 7 years ago
- Algorithmic Marketing based Project to do Customer Segmentation using RFM Modeling and targeted Recommendations based on each segment☆44Updated last year
- 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…☆153Updated 2 years ago
- A Linear Regression model to predict the car prices for the U.S market to help a new entrant understand important pricing variables in th…☆33Updated 5 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…☆229Updated 3 years ago
- Implementation of Decision Tree Classifier, Esemble Learning, Association Rule Mining and Clustering models(Kmodes & Kprototypes) for Cus…☆12Updated 5 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
- ☆24Updated 5 years ago
- Time Series Decomposition techniques and random forest algorithm on sales data☆62Updated 3 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
- Customer Analytics for a FMCG company (K-means clustering, PCA, logistic regression, linear regression)☆18Updated 4 years ago
- In depth analysis and forecasting of product sales based on the items, stores, transaction and other dependent variables like holidays an…☆112Updated 7 years ago
- Implementation OF KMEans, KMode, Kprototype and Agllomerative Hierarchical Clustering Using Python.☆35Updated 7 years ago
- Customer Personality Analysis Using Clustering☆24Updated 10 months ago
- Analysis for Customer Segmentation☆72Updated 5 years ago
- ☆100Updated 3 years ago
- Customer life time analysis (CLV analysis). We are using Gamma-Gamma model to estimate average transaction value for each customer.☆48Updated 7 years ago
- Complete machine learning analysis to solve marketing problems.☆18Updated 7 years ago
- Data Mining project 2020/2021 @ University of Pisa☆12Updated 4 years ago
- ☆221Updated 3 years ago
- Built house price prediction model using linear regression and k nearest neighbors and used machine learning techniques like ridge, lasso…☆94Updated last year
- Timeseries for everyone☆262Updated 2 years ago
- A Classification Problem which predicts if a loan will get approved or not.☆39Updated 3 years ago