mkucz95 / customer_segmentation
Unsupervised ML: Finding Customer Segments in General Population
☆16Updated 4 years ago
Related projects: ⓘ
- An example of clustering applied to finding customer segments.☆19Updated 7 years ago
- Udacity Data Science Nanodegree Capstone☆34Updated 4 years ago
- Customer life time analysis (CLV analysis). We are using Gamma-Gamma model to estimate average transaction value for each customer.☆45Updated 6 years ago
- Recency, Frequency, and Monetary are three behavioral attributes and are quite simple, in that they can be easily computed for any databa…☆15Updated 11 months ago
- This repository consists of predicting dynamic pricing, churn predictions using sales and marketing data for understanding users' behavio…☆68Updated 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 …☆128Updated 6 years ago
- Tips for Advanced Feature Engineering☆51Updated 4 years ago
- Unsupervised Clustering on Online Retail Dataset☆31Updated 5 years ago
- Here I'll publish all of my personal projects that relate to Data Science in Marketing☆43Updated 4 years ago
- Customer & Purchase Analytics using Segmentation, Targeting, Positioning, Marketing Mix, Price Elasticity☆40Updated 3 years ago
- Analysis for Customer Segmentation☆64Updated 4 years ago
- A comprehensive credit risk model and scorecard using data from Lending Club☆130Updated 3 years ago
- Time Series Decomposition techniques and random forest algorithm on sales data☆54Updated 2 years ago
- A study and comparison of Risk Modeling algorithms (Capstone Project)☆29Updated 6 years ago
- Predict whether a loan will be repaid using automated feature engineering.☆63Updated last year
- A machine learning algorithm written to predict severity of insurance claim☆16Updated 7 years ago
- Prediction of loan defaulter based on more than 5L records using Python, Numpy, Pandas and XGBoost☆62Updated 2 years ago
- It is a web app tutorial project made with streamlit, a ML web app tool. It has some super cool features that can eliminate the need of a…☆27Updated 4 years ago
- In the customer management lifecycle, customer churn refers to a decision made by the customer about ending the business relationship. It…☆56Updated last year
- Learning statistics with Python☆50Updated 3 years ago
- ☆30Updated 3 months 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…☆131Updated last year
- Python Machine Learning (ML) project that demonstrates the archetypal ML workflow within a Jupyter notebook, with automated model deploym…☆59Updated last year
- Project work for Udacity's AB Testing Course☆78Updated 7 years ago
- (117th place - Top 26%) Deep learning using Keras and Spark for the "Store Item Demand Forecasting" Kaggle competition.☆25Updated 5 years ago
- Iowa House Prices Kaggle (top 5%)☆13Updated 3 months ago
- Use Instacart public dataset to report which products are often shopped together. 🍋🍉🥑🥦☆36Updated 6 years ago
- Analytics for building Customer Journey Map in Ecommerce☆27Updated 4 years ago
- Streamlit Application for ABC Analysis & Product Segmentation☆15Updated 2 years ago
- Improve marketing campaign of a Portuguese bank by analyzing their past marketing campaign data and recommending which customer to target☆53Updated 6 years ago