Apply unsupervised learning techniques to identify customers segments.
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Updated
May 23, 2020 - HTML
Apply unsupervised learning techniques to identify customers segments.
Udacity's data scientist nanodegree image classifier project using deep learning.
Analyze real census data and create a supervised machine learning model to predict potential donor for charity.
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
Build Recommendation Systems
my portfolio website content holder.
Third project in Udacity's data science nanodegree (unsupervised learning)
Supervised Learning - Finding Potential Donors for CharityML
Unsupervised Learning: Identify Target Customers
Build an algorithm to best identify potential donors of CharityML
First project of Data science nanodegree (Supervised learning)
Capstone project of Udacity data scientist nanodegree.
Unsupervised ML: Finding Customer Segments in General Population
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