Targeted Marketing Campaign Prediction & User Behavior Analysis using K-Means Clustering & Folium For Data Visualization

1. Introduction — Business Understanding

1.1 Background

1.2 Business Problem

1.3 Interest

2. Data Science Methodology

2.1 Data Requirements — Data Tooling, Sources of Collection & Cleansing/Pre-processing

2.2 Exploratory Data Analysis & Machine Learning Methods

2.3 Results

Neighborhood Clusters
San Francisco Crime Near Castro Neighborhood
Similar Venue Data Clustering

2.4 Discussion

2.5 Limitations & Expansion of the Project

2.6 Conclusion

2.7 References



Technical Customer Success Architect of Data Science, Data, AI,Cloud Technologies. Love learning all things new and exciting.

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