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customer-analytics

Machine Learning Case study on customer segmentation and prediction of groups.

customer-base-analysis

Customer base analysis is concerned with using the observed past purchase behavior of customers to understand their current and likely future purchase patterns. More specifically, as developed in Schmittlein et al. (1987), customer base analysis uses data on the frequency, timing, and dollar value of each customer's past purchases

customer-journey-analytics

Analytics for building Customer Journey Map in Ecommerce

customer-segmentation-project

Data Analytics Bootcamp final project. The idea was to apply what learned, so we figured to put in the shoes of a consultancy to help a hypermarket concerned about their mk campaigns effectiveness.

datascience_artificialintelligence_utils

Examples of Data Science projects and Artificial Intelligence use cases

demand_forecast

Demand forecast task with different approach and frameworks

fpgrowth-and-apriori-algorithm-association-rule-data-mining

Implementation of FPTree-Growth and Apriori-Algorithm for finding frequent patterns in Transactional Database.

k-means-clustering-using-rfm-variables

Segmented customers based on Recency,Frequency & Monetary Value (RFM) metrics using K-MEANS clustering algorithm

market-basket-analysis-on-food-items

Frequent Itemsets via Apriori Algorithm Apriori function to extract frequent itemsets for association rule mining We have a dataset of a mall with 7500 transactions of different customers buying different items from the store. We have to find correlations between the different items in the store. so that we can know if a customer is buying apple, banana and mango. what is the next item, The customer would be interested in buying from the store.

mobile-price-comparison-of-amazon-and-flipkart

Web Scraping (also termed Screen Scraping, Web Data Extraction, Web Harvesting etc.) is a technique employed to extract large amounts of data from websites whereby the data is extracted and saved to a local file in your computer or to a database in table (spreadsheet) format.

practical-machine-learning-with-python

Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.

python-cheatsheet

Comprehensive Python Cheatsheet

python-feature-engineering-cookbook

Python Feature Engineering Cookbook, published by Packt

retail-analytics

retail-analytics-

Customer Segmentation of Online Retail Customers

retail-forecasting-optimal-pricing

End-to-end automated pipeline in Python that forecasts weekly demand for products & recommends corresponding optimal prices for a retail chain (Machine Learning in sklearn, MIP optimization in Gurobi)

segmentation-clustering

Recency, Frequency, and Monetary are three behavioral attributes and are quite simple, in that they can be easily computed for any database that has purchase history, and are easy to comprehend, yet very powerful in their predictive ability.

w2_bayesianglm