Topic: "scree-plot"
stefmolin/ml-utils
Machine learning utility functions and classes.
Language: Python - Size: 230 KB - Last synced at: 8 days ago - Pushed at: over 2 years ago - Stars: 12 - Forks: 14
ArkaB-DS/regressionProjectIITK
This is a group project for MTH416A: Regression Analysis at IIT Kanpur
Language: R - Size: 7.79 MB - Last synced at: over 2 years ago - Pushed at: over 3 years ago - Stars: 2 - Forks: 1
polimatt/PCA
This repo contains scripts that can help you pre-process data, carry out principal component analysis (PCA) on them, and plot PCA-relevant plots.
Language: Jupyter Notebook - Size: 254 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0
apoorvadudani/Positioning-Popular-Consumer-Electronics-Brands-Using-Principal-Component-Analysis
I use R to analyze survey data to position popular consumer electronics brands using Principal Component Analysis, uncovering key perceptual attributes and providing insights for targeted marketing strategies.
Language: R - Size: 51.8 KB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0
giladh7/Simulate-Scree-Plot
Simulate PCA's Scree Plot under noise
Language: Jupyter Notebook - Size: 4.89 MB - Last synced at: over 2 years ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0
vincentpun123/Characterizing-Political-Opinions
Apply traditional statistical methods such as PCA and FA to characterize political opinions within survey research data
Size: 700 KB - Last synced at: over 2 years ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0
sakusuma/FundPrioritzation
HELP International is 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 runs a lot of operational projects from time to time along with advocacy drives to raise awareness as well as for funding purposes. After the recent funding programmes, they have been able to raise around $ 10 million. Now the CEO of the NGO needs to 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. And this is where you come in as a data analyst. Your job is to categorise the countries using some socio-economic and health factors that determine the overall development of the country. Then you need to suggest the countries which the CEO needs to focus on the most. The datasets containing those socio-economic factors and the corresponding data dictionary are provided below.
Language: Jupyter Notebook - Size: 483 KB - Last synced at: about 2 years ago - Pushed at: almost 5 years ago - Stars: 0 - Forks: 0
shanujshekhar/Visual_Data_Analytics
Performing common visual data analytic tasks using Python and D3.js.
Language: HTML - Size: 1.39 MB - Last synced at: over 2 years ago - Pushed at: almost 5 years ago - Stars: 0 - Forks: 0
