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1. Market-Basket-Analysis-on-Food-Items Market-Basket-Analysis-on-Food-Items Public

   Frequent Itemsets via Apriori Algorithm Apriori function to extract frequent itemsets for association rule mining We have a dataset of a mall with 7500 transactions of different customers buying di…

   Jupyter Notebook 9 9

2. Attrition-Analysis-on-the-HR-Department Attrition-Analysis-on-the-HR-Department Public

   The rate of attrition or the inverse retention rate is the most commonly used metric while trying to analyze attrition. The attrition rate is typically calculated as the number of employees lost ev…

   Jupyter Notebook 5 4

3. Analyzing-the-Email-Opening-Rates Analyzing-the-Email-Opening-Rates Public

   Before building an email marketing campaign, it’s important to define your goals so you know if your campaign will be a success. One of the most vital factors to consider is how many people read an…

   Jupyter Notebook 10 4

4. Building-a-Movie-Recommender-Systems Building-a-Movie-Recommender-Systems Public

   Recommender System is a system that seeks to predict or filter preferences according to the user's choices. Recommender systems are utilized in a variety of areas including movies, music, news, boo…

   Jupyter Notebook 3 1

5. Clustering-Analysis-on-Mall-Customers Clustering-Analysis-on-Mall-Customers Public

   Problem Statement: This data set is created only for the learning purpose of the customer segmentation concepts , also known as market basket analysis . I will demonstrate this by using unsupervise…

   Jupyter Notebook 3 3

6. Customer-Base-Analysis Customer-Base-Analysis Public

   Customer base analysis is concerned with using the observed past purchase behavior of customers to understand their current and likely future purchase patterns. More specifically, as developed in S…

   Jupyter Notebook 4 4