elbow-curves
There are 33 repositories under elbow-curves topic.
Peteresis/Cryptocurrency
Unsupervised Machine Learning analysis to find patterns in Cryptocurrencies market valuations.
elmurod1202/survey-clustering
K-means clustering of texts (survey answers) using word-embeddings, finding optimal elbow-point, and averaging multiple-word expressions.
mmsaki/clustering-crypto
Using k-Means algorithm and a Principal Component Analysis (PCA) to cluster cryptocurrencies.
sailyshah/Clustering-of-countries
The objective of this project is to categorise the countries using some socio-economic and health factors that determine the overall development of the country and then accordingly suggest the NGO the country which is in dire need of help.
utsavchaudharygithub/Cryptocurrencies
We created a report that includes what cryptocurrencies are on the trading market and how they could be grouped to create a classification system for this new investment.The data Martha provided us was not ideal, so we processed to fit the machine learning models. Since there is no known output for what Martha is looking for, we decided to use unsupervised learning. To group the cryptocurrencies, Martha and us decided on a clustering algorithm. We used data visualizations to share our findings with the board.
Akotovets1/Cryptocurrencies
Unsupervised Machine Learning and Cryptocurrencies
anaorenstein/Cryptocurrency_Analysis
Used unsupervised machine Learning predictive algorithm to analyze the investment prospects and tendencies of cryptocurrencies.
angepacatte/Cryptocurrencies
Machine learning with elbow curves and K-Means model
Aryanakh7/Cryptocurrencies
An analytic report outlining how different cryptocurrencies on the trading market can be grouped to create a new classification system for an investment portfolio and the investment's bank customers.
ashwinihegde28/Cryptocurrencies
Unsupervised Learning
BaileeRice/Cryptocurrencies
using machine learning to create a class system for tradable cryptocurrencies
baller01/CryptoClustering
The purpose of this project is to analyze and cluster cryptocurrencies based on their price change percentage over different time periods.
BiancaTaisePommerening/Cryptocurrencies
Unsupervised Machine Learning
clangstonhinton/Crypto-Clustering-Challenge
Employ unsupervised machine learning to predict outcomes with K-Means and PCA
Crone1/Clustering-decision-data
This project involved clustering participants of the Iowa Gambling Task based on their decision model parameters
devxdebanjan/KMeans
clustering of night time satellite images and depicting them by use of different colors
Feramareck/Cryptocurrencies
Application of unsupervised learning to create a classification system for cryptocurrencies.
kobertlam/Cryptocurrencies
Use unsupervised machine learning techniques to analyze cryptocurrency data
lingumd/Cryptocurrencies
Unsupervised machine learning models used to group the cryptocurrencies to help prepare for a new investment.
mcarter-00/Cryptocurrencies
Use unsupervised machine learning techniques to analyze cryptocurrency data.
miwermi/cryptocurrencies
Used machine learning techiques to cluster and visualize cryptocurrency data.
ramya-ramamur/Cryptocurrencies
Unsupervised Machine Learning Technique - KMeans Clustering to classify cryptocurrency data using Principle Component Analysis (PCA)to to reduce the number of dimensions of the scaled data.
rmat112/Cryptocurrencies
This project is about creating a report that includes what cryptocurrencies are on the trading market and how they could be grouped to create a classification system for a new investment.
shumph10/Cryptocurrencies
Unsupervised machine learning was used to establish a classification system for actively trading cryptocurrencies for potential investment prospects.
ThatCoryGirl/unsupervised-ml-challenge
Python, unsupervised machine learning
tmard/Cryptocurrency-Challenge
Unsupervised machine learning analysis finding patterns in cryptocurrencies' market valuations.
ZeroDarkHardy/Cryptocurrencies
Using unsupervised machine learning algorithms to classify entries in a database of cryptocurrencies.
Baylex/Cryptocurrencies
Supervised Learning Recap
devinaa1604/AWS_and_Unsupervised_Learning
Generated analysis of cryptocurrencies is available on the trading market and how they can be grouped using classification. To do this I used unsupervised learning and Amazon SageMaker by clustering cryptocurrencies and creating plots to present results.
SavannahWithAnH/Crypto_Unsupervised
Analysis of cryptocurrency data using unsupervised machine learning.