Superstore clustering for furniture products.
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Updated
Oct 29, 2023 - Python
Superstore clustering for furniture products.
Using Spotify data to create a recommendation system for The Beatles
Implementing K-Means clustering for research about environmental awareness and environmental practices of Ecuadorian households regarding the enviroment
Customer personality analysis helps a business to modify its product based on its target customers from different types of customer segments.
Using several clustering algorithm to segment an insurance company customers
[ Analyzing the existing customer data and getting valuable insights about the purchase pattern ] | K-Means clustering | silhouette score | minmaxscalar |
Clustering algorithms to segment clients of a distribution company
Segmenting with Mixed Type Data - A Case Study Using K-Medoids on Subscription Data
I have clustered similar movies and TV Shows available on Netflix taking into account of attributes like Description, Cast, Director, Genre etc of a particular movie/show.
Analyze the data of batting figures of batsmen in ODI matches by Choosing strike rate and average as the two factors on which clustering the data
The objective is to implement different clustering methods to synthetic and real-world data and validate using external and internal validation techniques
An investment advisory firm needs to segment stock offerings so they may offer their customers understandable investment options.
This is a Python implementation of k-means algorithm including elbow method and silhouette method for selecting optimal K
2019.07.08 2등 KCB 금융스타일 시각화 경진대회(KCB/DACON)
K-means clustering, Evaluation methods of choosing k (Elbow Method, Silhouette analysis)
Unsupervised learning project (Clustering)
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