GitHub topics: elbow-curves
Chiagoziemchidera/Customer-Segmentation-Using-KMeans-Clustering
The project involved using KMeans clustering to segment customers based on behavioral patterns and preferences providing customer segments for targeted marketing strategies.
Language: Jupyter Notebook - Size: 25.8 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0
chaitanyasai-2021/Optimizing-Customer-Segmentation-in-Online-Retail
This project analyzes customer behavior in online retail using cohort analysis, **Recency, Frequency, Monetary (RFM)** metrics, and K-means clustering to segment customers. It identifies key groups like Best, At-Risk, and Average Customers, offering strategies to enhance engagement and drive loyalty.
Language: Jupyter Notebook - Size: 0 Bytes - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0
Peteresis/Cryptocurrency
Unsupervised Machine Learning analysis to find patterns in Cryptocurrencies market valuations.
Language: Jupyter Notebook - Size: 6.59 MB - Last synced at: 2 days ago - Pushed at: almost 3 years ago - Stars: 3 - Forks: 4
ThatCoryGirl/unsupervised-ml-challenge
Python, unsupervised machine learning
Language: Jupyter Notebook - Size: 1.31 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0
Akotovets1/Cryptocurrencies
Unsupervised Machine Learning and Cryptocurrencies
Language: Jupyter Notebook - Size: 4.61 MB - Last synced at: over 1 year ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0
SavannahWithAnH/Crypto_Unsupervised
Analysis of cryptocurrency data using unsupervised machine learning.
Language: Jupyter Notebook - Size: 1.17 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0
tmard/Cryptocurrency-Challenge
Unsupervised machine learning analysis finding patterns in cryptocurrencies' market valuations.
Language: Jupyter Notebook - Size: 3.31 MB - Last synced at: over 1 year ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0
clangstonhinton/Crypto-Clustering-Challenge
Employ unsupervised machine learning to predict outcomes with K-Means and PCA
Language: Jupyter Notebook - Size: 2.65 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0
ashwinihegde28/Cryptocurrencies
Unsupervised Learning
Language: Jupyter Notebook - Size: 6.88 MB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0
lingumd/Cryptocurrencies
Unsupervised machine learning models used to group the cryptocurrencies to help prepare for a new investment.
Language: Jupyter Notebook - Size: 3.88 MB - Last synced at: 2 months ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0
BaileeRice/Cryptocurrencies
using machine learning to create a class system for tradable cryptocurrencies
Language: Jupyter Notebook - Size: 107 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0
amyylin1/Cryptocurrencies
Language: Jupyter Notebook - Size: 17.7 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0
miwermi/cryptocurrencies
Used machine learning techiques to cluster and visualize cryptocurrency data.
Language: Jupyter Notebook - Size: 2.4 MB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0
shumph10/Cryptocurrencies
Unsupervised machine learning was used to establish a classification system for actively trading cryptocurrencies for potential investment prospects.
Language: Jupyter Notebook - Size: 9.87 MB - Last synced at: 10 months ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0
mmsaki/clustering-crypto
Using k-Means algorithm and a Principal Component Analysis (PCA) to cluster cryptocurrencies.
Language: Jupyter Notebook - Size: 21 MB - Last synced at: about 2 months ago - Pushed at: almost 3 years ago - Stars: 1 - Forks: 0
elmurod1202/survey-clustering
K-means clustering of texts (survey answers) using word-embeddings, finding optimal elbow-point, and averaging multiple-word expressions.
Language: Python - Size: 1.23 MB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 1 - Forks: 0
Baylex/Cryptocurrencies
Supervised Learning Recap
Language: Jupyter Notebook - Size: 5.74 MB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 3
ZeroDarkHardy/Cryptocurrencies
Using unsupervised machine learning algorithms to classify entries in a database of cryptocurrencies.
Language: Jupyter Notebook - Size: 12.2 MB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0
Crone1/Clustering-decision-data
This project involved clustering participants of the Iowa Gambling Task based on their decision model parameters
Language: Jupyter Notebook - Size: 18.3 MB - Last synced at: 8 months ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 2
mcarter-00/Cryptocurrencies
Use unsupervised machine learning techniques to analyze cryptocurrency data.
Language: Jupyter Notebook - Size: 1.84 MB - Last synced at: about 2 years ago - Pushed at: about 5 years ago - Stars: 0 - Forks: 1
