dmeoli / OnlineRetail
Data Mining project 2020/2021 @ University of Pisa
☆11Updated 3 years ago
Related projects: ⓘ
- 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
- ☆17Updated 3 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
- Before building an email marketing campaign, it’s important to define your goals so you know if your campaign will be a success. One of t…☆10Updated 4 years ago
- Customer-base segmentation over e-commerce sales data☆24Updated 4 years ago
- Customer & Purchase Analytics using Segmentation, Targeting, Positioning, Marketing Mix, Price Elasticity☆40Updated 3 years ago
- Code repo for Packt course I developed, "Beginning Data Wrangling with Python"☆28Updated 4 years ago
- Data Analysis with Python - Customer Segmentation ( RFM Analysis) - Power BI Dashboard - Tableau Dashboard☆10Updated 3 years ago
- Small example on how you can detect multicollinearity☆13Updated 3 years ago
- Code repository for the book Feature engineering with Feature-engine☆12Updated 4 months ago
- This repository consists of predicting dynamic pricing, churn predictions using sales and marketing data for understanding users' behavio…☆68Updated 4 years ago
- Time Series Analysis with Python 3.x [Video], published by Packt☆27Updated last year
- Repository for GH public projects☆17Updated 6 months ago
- Algorithmic Marketing based Project to do Customer Segmentation using RFM Modeling and targeted Recommendations based on each segment☆36Updated last month
- Implementation of feature engineering from Feature engineering strategies for credit card fraud☆38Updated 3 years ago
- Achieve your marketing goals with the data analytics power of Python☆12Updated 5 years ago
- Anamoly Detection with Autoencoders - Credit Card Fraud Case☆15Updated 4 years ago
- Data Science Study Notes + Projects☆19Updated 2 years ago
- ☆16Updated last year
- References to the Medium articles☆85Updated last year
- Use Multiple Linear Regression, Python, Pandas, and Matplotlib to analyze the lifetime value and the key factors of the ‘Telco Customer C…☆10Updated 4 years ago
- Time Series Forecasting for the M5 Competition☆40Updated 2 years ago
- Predict customer churn with text and interpretability.☆10Updated 3 years ago
- Few tutorials on pandas, matplotlib and seaborn☆26Updated 8 years ago
- Recommendation System to locate products in a fresh market using Apriori and ECLAT association rule algorithms☆28Updated 7 years ago
- ☆12Updated last year
- (117th place - Top 26%) Deep learning using Keras and Spark for the "Store Item Demand Forecasting" Kaggle competition.☆25Updated 5 years ago
- ECommerce Startup Database Analysis Project with MySQL Workbench | SQL Aggregations, JOINs, CTEs | Web Analytics | Product Analytics☆19Updated last year
- Tips for Advanced Feature Engineering☆51Updated 4 years ago
- 🧑🏼🏫 Here is the material for a course of two-weeks I will be giving in a Master of Data Science and AI☆15Updated 3 weeks ago