A collection of reference Jupyter notebooks and demo AI/ML applications for enterprise use cases: marketing, pricing, supply chain, smart manufacturing, and more.
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Updated
Jan 24, 2024 - Jupyter Notebook
A collection of reference Jupyter notebooks and demo AI/ML applications for enterprise use cases: marketing, pricing, supply chain, smart manufacturing, and more.
This repository contains the data source and the tableau workbook used in my YouTube video: https://www.youtube.com/watch?v=_qReGTOrKTk
Customer Personality Analysis Using Clustering
Using a Kernel SVM model to determine which consumer demographics to target and their likelihood of purchasing a product based on viewing a social media ad. Achieved an accuracy score of 95%!
Using Logistic regression to determine which consumer demographics to target and their likelihood of purchasing a product based on viewing a social media ad. Achieved an accuracy score of above 92%!
Using a KNN model to determine which consumer demographics to target and their likelihood of purchasing a product based on viewing a social media ad. Achieved an accuracy score of 95%!
Submission for the Data Analytics Program offered by KPMG Australia via Forage.
Gofood Exploratory Data Analysis and WordCloud (category,product,etc)
Customer Segmentation Project
Using fuzzy c-means and k-means to analyze customer personality data
Explore the world of data-driven customer analysis and lifetime value estimation. This project dives into customer segmentation, geographic analysis, time series insights, stock trends, and product descriptions. Join us on our journey of data exploration and optimization.
This repository contains a dashboard created using Tableau and you will find details about customer analysis method
Dataset Northwind Mini Project Data Engineering
The KPMG Data Analytics Virtual Internship is designed to help you gain a practical insight into the work we do at KPMG and it is an opportunity for you to build your career skills and experience.
Detailed analysis of a company’s ideal customers, helps a business to better understand its customers and makes it easier for them to modify products according to the specific needs, behaviors and concerns of different types of customers
KYC: know your customer. In this repository you will know the phases of B2C customer analysis and customer segmentation using k-means and RFM analysis
Used sales data from CSV file to create tables and which were later combined to form an interactive and comprehensive dashboard in Tableau
This repository showcases the outcomes of an Exploratory Data Analysis (EDA), including visualisation, conducted on the comprehensive Amazon Review Data (2018) dataset, consisting of nearly 233.1 million records and occupying approximately 128 gigabytes (GB) of data storage, using MongoDB and PySpark.
Customer analysis on a bike-share program
This repo is about analytics for optimizing your business's top customers and products.
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