gitakartika / customer-segmentation-analysis-product-recommender-systemLinks
Analyse customer segmentation, sentiment on product review, and built a product recommender system
☆33Updated 4 years ago
Alternatives and similar repositories for customer-segmentation-analysis-product-recommender-system
Users that are interested in customer-segmentation-analysis-product-recommender-system are comparing it to the libraries listed below
Sorting:
- Algorithmic Marketing based Project to do Customer Segmentation using RFM Modeling and targeted Recommendations based on each segment☆44Updated last year
- This contains projects based on Algorithmic Marketing like Marketing Mix Modeling, Attribution Modeling & Budget Optimization, RFM Analys…☆247Updated 5 years ago
- Customer & Purchase Analytics using Segmentation, Targeting, Positioning, Marketing Mix, Price Elasticity☆50Updated 5 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…☆156Updated 3 years ago
- Customer Segmentation Analysis with RFM, using Python and Power BI.☆28Updated 4 years ago
- This repository contains RFM analysis applied to identify customer segments for global retail company and to understand how those groups …☆32Updated 5 years ago
- The main purpose of this repository is to model and forecast customer lifetime value.☆11Updated 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…☆92Updated 3 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…☆236Updated 3 years ago
- This repository consists of predicting dynamic pricing, churn predictions using sales and marketing data for understanding users' behavio…☆78Updated 5 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 …☆137Updated 7 years ago
- Lead Scoring is such a powerful metric when it comes to quantifying the lead & it is nowadays used by every CRM. In this repository, we a…☆64Updated 4 years ago
- Streamlit Application for ABC Analysis & Product Segmentation☆20Updated 10 months ago
- Data Analysis with Python - Customer Segmentation ( RFM Analysis) - Power BI Dashboard - Tableau Dashboard☆12Updated 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
- Customer Analytics for a FMCG company (K-means clustering, PCA, logistic regression, linear regression)☆18Updated 4 years ago
- Machine Learning for Retail Sales Forecasting — Features Engineering☆67Updated last year
- Supply Chain Optimization with Python☆102Updated last month
- Achieve your marketing goals with the data analytics power of Python☆224Updated 6 years ago
- RFM (Recency, Frequency, Monetary) analysis is a proven marketing model for behavior based customer segmentation. It groups customers bas…☆25Updated 8 years ago
- Predictive Lead Scoring does all the hard work for you by leveraging Machine Learning to provide your sales and marketing team with in-de…☆104Updated last year
- The python version of the lab exercises from the coursera class Foundation of marketing analytics.☆12Updated 3 years ago
- Analytics and data science business case studies to identify opportunities and inform decisions about products and features. Topics incl…☆302Updated last year
- Udacity Data Science Nanodegree Capstone☆37Updated 5 years ago
- Improve marketing campaign of a Portuguese bank by analyzing their past marketing campaign data and recommending which customer to target☆63Updated 7 years ago
- 📈Forecasting Total amount of Products using time-series dataset consisting of daily sales data provided by one of the largest Russian so…☆60Updated 5 years ago
- Source code for my blog post about "How to predict the success of your marketing campaign"☆43Updated last year
- Understand why employees leave a company and apply various machine learning models to predict the next leaver!☆53Updated 7 years ago
- Business setting up their recommendation system for first time without any product rating history, & Amazon/Netflix type of recommendatio…☆97Updated 3 years ago
- Optimize revenues through pricing algorithm in python - Demand with uniform distribution☆33Updated 5 years ago