elbow-plot

There are 0 repository under elbow-plot topic.

jtemporal / kmeans_e_cotovelo
kmeans datascience clustering clustering-validation elbow-method elbow-plot
Language:HTML 17
rochitasundar / Stock-clustering-using-ML
The project involves performing clustering analysis (K-Means, Hierarchical clustering, visualization post PCA) to segregate stocks based on similar characteristics or with minimum correlation. Having a diversified portfolio tends to yield higher returns and face lower risk by tempering potential losses when the market is down.
scipy-library sklearn-library standardscaler k-means-clustering elbow-plot silhouette-score agglomerative-clustering dendrogram linkage-analysis cophenetic-distance principal-component-analysis
Language:Jupyter Notebook 12
stefmolin / ml-utils
Machine learning utility functions and classes.
roc-curve roc-auc pr-curve precision-recall precision-recall-curve pca scree-plot elbow-method elbow-plot adjusted-r-squared pipeline machine-learning confusion-matrix residuals
Language:Python 12
ikneed
arvkevi / ikneed
Interactive knee point detection using kneed!
knee-point streamlit elbow-plot
Language:Python 8
manmolecular / http-response-clustering
:chart_with_downwards_trend: Clustering of HTTP responses using k-means++ and the elbow method
data-analysis elbow-method elbow-plot jupyter k-means-plus-plus python3
Language:Jupyter Notebook 2
vaitybharati / Assignment-08-PCA-Data-Mining-Wine-
Assignment-08-PCA-Data-Mining-Wine data. Perform Principal component analysis and perform clustering using first 3 principal component scores (both heirarchial and k mean clustering(scree plot or elbow curve) and obtain optimum number of clusters and check whether we have obtained same number of clusters with the original data (class column we have ignored at the begining who shows it has 3 clusters)
python pca-analysis data-mining-algorithms decomposition sklearn preprocessing scale covariance-matrix variance-plot scatter-plot hierarchical-clustering scipy dendrogram agglomerative-clustering kmeans-clustering clustering-algorithm elbow-plot wcss
Language:Jupyter Notebook 2
Abhik35 / Assignment-K-Means-Clustering-Airlines-
Perform clustering (K means clustering) for the airlines data to obtain optimum number of clusters. Draw the inferences from the clusters obtained. Data Description: The file EastWestAirlinescontains information on passengers who belong to an airline’s frequent flier program. For each passenger the data include information on their mileage history and on different ways they accrued or spent miles in the last year. The goal is to try to identify clusters of passengers that have similar characteristics for the purpose of targeting different segments for different types of mileage offers ID --Unique ID Balance--Number of miles eligible for award travel Qual_mile--Number of miles counted as qualifying for Topflight status cc1_miles -- Number of miles earned with freq. flyer credit card in the past 12 months: cc2_miles -- Number of miles earned with Rewards credit card in the past 12 months: cc3_miles -- Number of miles earned with Small Business credit card in the past 12 months: 1 = under 5,000 2 = 5,000 - 10,000 3 = 10,001 - 25,000 4 = 25,001 - 50,000 5 = over 50,000 Bonus_miles--Number of miles earned from non-flight bonus transactions in the past 12 months Bonus_trans--Number of non-flight bonus transactions in the past 12 months Flight_miles_12mo--Number of flight miles in the past 12 months Flight_trans_12--Number of flight transactions in the past 12 months Days_since_enrolled--Number of days since enrolled in flier program Award--whether that person had award flight (free flight) or not
python numpy sklearn pandas scatter-plot normalization clustering-algorithm kmeans-clustering sumofasequence elbow-plot matplotlib-pyplot cluster-centers wcss standard-scaler
Language:Jupyter Notebook 1
Abhik35 / Assignment-PCA-Data-Mining-Wine-
Perform Principal component analysis and perform clustering using first 3 principal component scores (both heirarchial and k mean clustering(scree plot or elbow curve) and obtain optimum number of clusters and check whether we have obtained same number of clusters with the original data (class column we have ignored at the begining who shows it has 3 clusters) PCA Implementation Checking with other Clustering Algorithms 1.Hierarchical Clustering 2.K-Means Clustering Build Cluster algorithm using K=3
python scale sklearn pca pca-analysis decomposition scipy scatter-plot preprocessing data-mining-algorithms clustering kmeans-clustering covariance-matrix hierarchical-clustering variance-plot wcss dendrogram elbow-plot agglomerative-clustering
Language:Jupyter Notebook 1
HotuRam / Credit-engine
Credit engine majorly based on Unsupervised learning
creditengine unsupervised-machine-learning exploratory-data-analysis kmeans-clustering elbow-plot
Language:Jupyter Notebook 1
jose-perth / Cryptocurrencies
Used Unsupervised Machine Learning to create an analysis of cryptocurrencies on the trading market and how they could be grouped to create a classification system.
machine-learning pca elbow-plot
Language:Jupyter Notebook 1
smh997 / Audiobook-Customer-Segmentation-and-Purchase-Prediction
Segmenting customers of an audiobook platform and predicting their future purchase.
customer-relationship-management customer-segmentation clustering classification prediction rfm-analysis kmeans-clustering random-forest-classifier xgbclassifier svm-classifier elbow-plot pca-analysis machine-learning
Language:Jupyter Notebook 1
srilakshmi-thota / K-MEANS-CLUSTERING-CLASSIFIER
K-means Clustering algorithm is used to classify,experimenting with different values of K to find the elbow point in the plot error vs K
elbow-plot kmeans-clustering machine-learning python unsupervised-learning
Language:Python 1
SurgoHealth / segmentation
Source code for examples of k-means and hierarchical clustering
kmeans hierarchical-clustering simulated-data gaussian-mixture-models elbow-plot
Language:Jupyter Notebook 1
vaitybharati / Assignment-07-K-Means-Clustering-Airlines-
Assignment-07-K-Means-Clustering-Airlines. Perform clustering (K means clustering) for the airlines data to obtain optimum number of clusters. Draw the inferences from the clusters obtained. The file EastWestAirlinescontains information on passengers who belong to an airline’s frequent flier program. For each passenger the data include information on their mileage history and on different ways they accrued or spent miles in the last year. The goal is to try to identify clusters of passengers that have similar characteristics for the purpose of targeting different segments for different types of mileage offers.
python sklearn clustering-algorithm kmeans-clustering standard-scaler normalize sum-of-squares wcss elbow-plot cluster-centers pandas numpy matplotlib-pyplot scatter-plot
Language:Jupyter Notebook 1
vaitybharati / P30.-Unsupervised-ML---K-Means-Clustering-Non-Hierarchical-Clustering-Univ.-
Unsupervised-ML---K-Means-Clustering-Non-Hierarchical-Clustering-Univ. Use Elbow Graph to find optimum number of clusters (K value) from K values range. The K-means algorithm aims to choose centroids that minimise the inertia, or within-cluster sum-of-squares criterion WCSS. Plot K values range vs WCSS to get Elbow graph for choosing K (no. of clusters)
python numpy sklearn pandas scatter-plot normalize clustering-algorithm kmeans-clustering wcss sum-of-squares elbow-plot matplotlib-pyplot cluster-centroids standard-scaler kmeans-algorithm
Language:Jupyter Notebook 1
y656 / Weather-data-clustering
This repository contains clustering techniques applied to minute weather data. It contains K-Means, Heirarchical Agglomerative clustering. I have applied various feature scaling techniques and explored the best one for our dataset
clustering-algorithm hierarchical-clustering kmeans-clustering matplotlib-pyplot pandas-dataframe seaborn-plots unsupervised-machine-learning kernelpca minmaxscaling outlier-detection pca robust-scaling standard-scaler truncated-svd dendrogram outliers-detection davies-bouldin elbow-plot silhouette-score
Language:Jupyter Notebook 1
abednarz210 / Machine_Learning_Unsupervised
Create an unsupervised Machine Learning Model to determine actively traded cryptocurrencies for new investment.
elbow-plot jupyter-notebook machine-learning tsne
Language:Jupyter Notebook 0
Aysenuryilmazz / ClusteringAnuranCallsMFCCs
Clustering for Anuran Calls with 4 different families
outlier-detection outlier-removal exploratory-data-analysis normalization feature-selection heatmap random-forest clustering-algorithm kmeans-clustering dbscan-clustering elbow-method elbow-plot pca agnes silhouette-score homogeneity
Language:Jupyter Notebook 0
gauravjagtap-2611 / Archtype-of-NBA-Players
This Project aims to cluster players on the basis of their performance on offensive side of court and give Winning Proportion of these groups in a team.
elbow-plot silhouette-coefficient exploratory-data-analysis gaussian-mixture-models kmeans-clustering heirarchical-clustering unsupervised-machine-learning nba-players-archtype plotly-library scraping-data
Language:Jupyter Notebook 0
imane-ayouni / Chicago-Public-School-Students-Clustering
Unsupervised learning algorithms to cluster students of a public school
unsupervised-learning kmeans-clustering dbscan-clustering gaussian-mixture agglomerative-clustering hierarchical-clustering silhouette-plots elbow-plot dendrogram silhouette-score calinski-harabasz davies-bouldin
Language:Jupyter Notebook 0
manjugovindarajan / Trade-Ahead-StockClustering-using-ML
Project involves performing clustering analysis (K-Means, Hierarchical clustering, visualization post PCA) to segregate stocks based on similar characteristics or with minimum correlation. Having a diversified portfolio tends to yield higher returns and faces lower risk by tempering potential losses when the market is down.
agglomerative-clustering cophenetic-distance dendrogram elbow-plot k-means-clustering linkage-analysis principal-component-analysis scipy-library silhouette-score sklearn-library standard-scaler
Language:Jupyter Notebook 0
PatilSukanya / Assignment-07-Clustering-Q1-Airline-
Used libraries and functions as follows:
dbscan-clustering matplotlib-pyplot pandas sklearn dendogram elbow-plot euclidean-distances heirarchical-clustering kmeans-clustering normalization standard-scaler ward-linkage
Language:Jupyter Notebook 0
priya-explorer / Customer_spend_behaviour_using_Clustering
Clustering Project
clusters-detection elbow-plot hierarchical-clustering kmeans-clustering python unsupervised-machine-learning
Language:Jupyter Notebook 0
Rajivjha003 / Netflix-Movies-TV-Shows-Clustering-Project
Netflix Movies & TV Shows Clustering
agglomerative-clustering elbow-plot kmeans-clustering nlp silhouette-score word2vec
Language:Jupyter Notebook 0
Rudraroy21 / Rudra-Roy
Perform Principal component analysis and perform clustering using first 3 principal component scores (both heirarchial and k mean clustering(scree plot or elbow curve) and obtain optimum number of clusters and check whether we have obtained same number of clusters with the original data (class column we have ignored at the beginning who shows it has 3 clusters)df
data-mining elbow-plot hierarchical-clustering kmeans-clustering pca python scipy
Language:Jupyter Notebook 0
S-CHAN11 / Bank-Customer-Segmentation
The objective of this project is to analyze the customers of a bank, categorize them with K-Means and Hierarchical Clustering and evaluate their distinct characteristics
cluster-profiling data-cleaning-and-preprocessing dendrogram elbow-method elbow-plot hierarchical-clustering k-means-clustering linkage-analysis outlier-removal silhouette-score sum-of-squared-error wss
Language:Jupyter Notebook 0
SadeTosin / E-Commerce-Sales-Customer-Segmentation
By aligning marketing efforts with customer preferences and desires, this approach promises to enhance market presence and drive substantial sales growth.
agglomerative-clustering classifier-model clustering-algorithm e-commerce elbow-method elbow-plot kmeans-clustering sale-analysis sales unsupervised-machine-learning
Language:Jupyter Notebook 0
shohaha / ML-myopia-clusters
elbow-plot k-means-clustering machine-learning myopia unsupervised-machine-learning
Language:Jupyter Notebook 0
SmartNamDevoloper / Clustering_Countries
This project demonstrates a Clustering Model using Python. An international humanitarian NGO that is committed to fighting poverty and providing the people of backward countries with basic amenities and relief during the time of disasters and natural calamities. It has been able to raise around $ 10 million. The model is needed to help decide how to use this money strategically and effectively. The significant issues that come while making this decision are mostly related to choosing the countries that are in the direst need of aid. The model is used to categorize the countries using some socio-economic and health factors that determine the overall development of the country.
sklearn kmeans-clustering hopkins silhouette-score elbow-plot linkage hierarchical-clustering univariate-analysis bivariate-analysis outlier-detection
Language:Jupyter Notebook 0
tpurcell0122github / Trade-Ahead
An investment advisory firm needs to segment stock offerings so they may offer their customers understandable investment options.
clustering clusterprofiler cophenetic-distance dendrograms elbow-plot hierarchical-clustering k-means-clustering segmenting-and-clustering silhouette-method
0
vrayanoothala / DataScienceCapstone-OnlineRetailer
Data Science - Capstone Project
customer-segmentation-analysis elbow-plot kmeans-clustering-algorithm online-retailers silhouette
Language:Jupyter Notebook 0
zillur-av / k-means-algorithm
This is a Python implementation of k-means algorithm including elbow method and silhouette method for selecting optimal K
elbow-method elbow-plot k-means k-means-clustering k-means-implementation-in-python machine-learning machine-learning-algorithms python python3 silhouette-method silhouette-score
Language:Jupyter Notebook 0
PatilSukanya / Assignment-08-PCA
Used libraries and functions as follows:
clustering covarience-matrix data-mining-algorithm decomposition dendogram elbow-plot hierarchical kmeans-clustering pca-analysis preprocessing python scale scatter-plot scipy sklearn variance-plot wcss
Language:Jupyter Notebook
RiteshopShrivastava / Hierarchical_Clustering
Unsupervised-ML---K-Means-Clustering-Non-Hierarchical-Clustering-Univ. Use Elbow Graph to find optimum number of clusters (K value) from K values range. The K-means algorithm aims to choose centroids that minimise the inertia, or within-cluster sum-of-squares criterion WCSS. Plot K values range vs WCSS to get Elbow graph for choosing K (no. of clusters)
clustercentroids clustering elbow-plot kmeans-clustering matplotlib pandas python sklearn standardscaler wcss
Language:Jupyter Notebook
sumitkutty / Sparks-Foundation-Internship
The projects are a part of the internship by The Sparks Foundation
eda wcss internship elbow-method elbow-plot kmeans-clustering
Language:Jupyter Notebook
Vineeta12345 / KMeans
Performing kmeans clustering and also providing elbow plot
python python3 kmeans-clustering elbow-plot scaler minmaxscaler
Language:Python

elbow-plot

jtemporal / kmeans_e_cotovelo

rochitasundar / Stock-clustering-using-ML

stefmolin / ml-utils

arvkevi / ikneed

manmolecular / http-response-clustering

vaitybharati / Assignment-08-PCA-Data-Mining-Wine-

Abhik35 / Assignment-K-Means-Clustering-Airlines-

Abhik35 / Assignment-PCA-Data-Mining-Wine-

HotuRam / Credit-engine

jose-perth / Cryptocurrencies

smh997 / Audiobook-Customer-Segmentation-and-Purchase-Prediction

srilakshmi-thota / K-MEANS-CLUSTERING-CLASSIFIER

SurgoHealth / segmentation

vaitybharati / Assignment-07-K-Means-Clustering-Airlines-

vaitybharati / P30.-Unsupervised-ML---K-Means-Clustering-Non-Hierarchical-Clustering-Univ.-

y656 / Weather-data-clustering

abednarz210 / Machine_Learning_Unsupervised

Aysenuryilmazz / ClusteringAnuranCallsMFCCs

gauravjagtap-2611 / Archtype-of-NBA-Players

imane-ayouni / Chicago-Public-School-Students-Clustering

manjugovindarajan / Trade-Ahead-StockClustering-using-ML

PatilSukanya / Assignment-07-Clustering-Q1-Airline-

priya-explorer / Customer_spend_behaviour_using_Clustering

Rajivjha003 / Netflix-Movies-TV-Shows-Clustering-Project

Rudraroy21 / Rudra-Roy

S-CHAN11 / Bank-Customer-Segmentation

SadeTosin / E-Commerce-Sales-Customer-Segmentation

shohaha / ML-myopia-clusters

SmartNamDevoloper / Clustering_Countries

tpurcell0122github / Trade-Ahead

vrayanoothala / DataScienceCapstone-OnlineRetailer

zillur-av / k-means-algorithm

PatilSukanya / Assignment-08-PCA

RiteshopShrivastava / Hierarchical_Clustering

sumitkutty / Sparks-Foundation-Internship

Vineeta12345 / KMeans