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

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

Analyzing Portugal bank marketing campaigns results

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

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

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

Case study analysis on a bank marketing dataset to discover how to increase ROI for future marketing campaigns.

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

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.

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

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

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

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.

This project aims to investigate out of three promotional campaign, which one performs the best in terms of generating sales. To this end, this project utilizes an A/B testing approach.

Campaign Performance Analysis This project analyzes the performance of Spring, Summer, and Fall marketing campaigns, revealing key insights and actionable recommendations.

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

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..

Analysis of marketing campaign data to answer questions about the impact of each marketing strategy and sales visit on Sales (Amount Collected)