/Data-Science-Applications-in-Marketing

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Data-Science-Applications-in-Marketing

5 Use Cases of Data Science in Marketing

  1. Recommendation Systems
  • Collaborative-Filtering Based Recommendation Systems
  • Collaborative-Filtering Based Recommendation Systems image

  1. Sentiment Analysis

  2. Customer Churn Prediction image https://www.datacamp.com/blog/data-science-in-marketing-customer-churn-rate-prediction

  3. Customer Segmentation

    • Each segment is then targeted with a different set of promotions and product offerings based on their behavior. image

  4. Market Basket Analysis

  • Association mining. In other words, a person who buys baby formula is also likely to purchase diaper. However, purchase patterns are not always as obvious.
  • Classic case study: "beer and diapers"

Algorithms for Marketing

  1. Clustering
  2. Regression Models
  3. Classification

##In this repo, I included all of the Data Science in Marketing projects and case studies I've done thus far:

  1. Build a Collaborative Filtering Recommender System in Python
  2. Customer Churn Rate Prediction
  3. Marketing Budget and Channel Optimization
  4. Sentiment Analysis