marketing-campaign
There are 0 repository under marketing-campaign topic.
McGill-MMA-EnterpriseAnalytics / datasectuals
Predicting whether or not a person deposits money after a marketing campaign. Gain insights to develop the best strategy in the next marketing campaign
Language:Jupyter Notebook 5nurimammasri / Marketing-Campaign-Model-Prediction-by-Datalicious
This machine learning is made to fulfill the final project of Rakamin Academy Bootcamp of Data Science Batch 32
Language:Jupyter Notebook 5G0rav / Marketing_Strategy_using_Decision_Trees
Give a Marketing strategy to bank using dataset available on kaggle.
Language:Jupyter Notebook 2goncaloggomes / cost-prediction
A Data Science Machine Learning approach to predict the best candidates to be targeted for a marketing campaign
Language:Jupyter Notebook 2mazba-ahamad / Uplift-Modeling-for-Treatment-Non-Responders-through-Multifaceted-Intervention-for-Cost-Optimization
A modified uplift modeling technique to convert "treatment nonresponders" to "responders" is proposed through multifaceted interventions in market campaigns.
Language:Jupyter Notebook 2mbabarsajjad / capstone-project-customer-segmentation
Project 3 of Udacity's Machine Learning Engineer Nanodegree program.
Language:Jupyter Notebook 2vgp314 / Udacity-Arvato-Identify-Customer-Segments
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..
Language:Jupyter Notebook 2eduardochaves1 / marketing-campaign
Um modelo de ML para otimização de investimento em uma campanha de marketing!
Language:Jupyter Notebook 1jedjovellanos / bank_marketing_campaign
Case study analysis on a bank marketing dataset to discover how to increase ROI for future marketing campaigns.
melunaich / Bank-marketing-campaigns-analysis
Analyzing Portugal bank marketing campaigns results
Language:HTML 1Putriarrum / Predict-Customer-Personality-to-Boost-Up-Marketing-Campaign-Performance
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.
Language:Jupyter Notebook 1SunnyBibyan / Marketing_Campaign_Analysis_Power_BI_Dashboard
Campaign Performance Analysis This project analyzes the performance of Spring, Summer, and Fall marketing campaigns, revealing key insights and actionable recommendations.
bchua1996 / Completed-Projects
I share my completed projects here - Mostly stuffs related to the Music Industry. www.brendanrhchua.com
Language:HTML 0dinachoir / retargeting-marketing-campaign
Analyze the customer personality behaviours so that we can target the right customers to transact on the company's platform.
Language:Jupyter Notebook 0farrellwahyudi / Predict-Customer-Personality-to-Boost-Marketing-Campaign-by-Using-Machine-Learning
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.
Language:Jupyter Notebook 0LingAdeu / ab-testing-campaign-effectiveness
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.
Language:Jupyter Notebook 0SanjayShahdev / Generating-Keywords-for-Google-Ads
I automatically generated keywords for a search engine marketing campaign using Python.
Language:Jupyter Notebook 0- Language:JavaScript
PriyanshiChandra / Marketing-campaign-analysis
Analysis of marketing campaign data to answer questions about the impact of each marketing strategy and sales visit on Sales (Amount Collected)
Language:Jupyter Notebook
