Unsupervised ML: Finding Customer Segments in General Population
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Updated
Oct 25, 2019 - HTML
Unsupervised ML: Finding Customer Segments in General Population
Apply unsupervised learning techniques to identify customers segments.
Analyze real census data and create a supervised machine learning model to predict potential donor for charity.
Build an algorithm to best identify potential donors of CharityML
Udacity's data scientist nanodegree image classifier project using deep learning.
Analysis simulated data of the Starbucks Rewards mobile app and implementation of machine learning models to predict individual offer portfolios for each customer
Sixth project of Udacity data scientist nanodegree
Supervised Learning - Finding Potential Donors for CharityML
Unsupervised Learning: Identify Target Customers
First project of Data science nanodegree (Supervised learning)
Capstone project of Udacity data scientist nanodegree.
my portfolio website content holder.
Third project in Udacity's data science nanodegree (unsupervised learning)
Build Recommendation Systems
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