Predicting whether or not a person deposits money after a marketing campaign. Gain insights to develop the best strategy in the next marketing campaign

This machine learning is made to fulfill the final project of Rakamin Academy Bootcamp of Data Science Batch 32

Give a Marketing strategy to bank using dataset available on kaggle.

A modified uplift modeling technique to convert "treatment nonresponders" to "responders" is proposed through multifaceted interventions in market campaigns.

A Data Science Machine Learning approach to predict the best candidates to be targeted for a marketing campaign

Project 3 of Udacity's Machine Learning Engineer Nanodegree program.

Final project for the Udacity Machine Learning Engineer Nanodegree. Customer Segmentation, based on regional demographic and customer data. Supervised Learning Techniques applied for customer acquisition..

Um modelo de ML para otimização de investimento em uma campanha de marketing!

Analyzing Portugal bank marketing campaigns results

I share my completed projects here - Mostly stuffs related to the Music Industry. www.brendanrhchua.com

rpg-marketing

In this project I used K-Means and data analysis to predict customer personalities and boost marketing campaigns, resulting in a significant improvement in marketing ROI. It utilized customer behavior data to segment them into distinct clusters, enabling personalized marketing strategies for each group, achieving higher conversion rates and ROI.

This project is my personal project about Marketing Campaign using dataset from Big Tech Company provided by Rakamain Academy. I created Clustering Model with Python (Sklearn) to get best model from the dataset that can used for arrange their next marketing strategic planning.

I automatically generated keywords for a search engine marketing campaign using Python.

Analyze the customer personality behaviours so that we can target the right customers to transact on the company's platform.