K-Means Clustering and Hierarchical Clustering Unsupervised Learning Solution in Python3.

Overview

Unsupervised Learning - K-Means Clustering and Hierarchical Clustering - The Heritage Foundation's Economic Freedom Index Analysis 2019 - By David Salako.

Background and Context

Created in 1995 by the Heritage Foundation, The Index of Economic Freedom is a ranking created to measure the economic freedom in the countries of the world.

Now, in its 25th edition, The Economic Freedom Index is poised to help readers track over two decades of the advancement in economic freedom, prosperity, and opportunity and promote these ideas in their homes, schools, and communities.

The Index covers 12 freedoms, from property rights to financial freedom, in 186 countries.

Objective:

As a data scientist, I have been tasked to (1) analyze the data, (2) use clustering algorithms to identify different groups of countries based on economic freedom, and (3) list the insights from the analysis.

Data Dictionary & Description:

The data comprises factors indicating economic freedom. The list of variables in the data is given below. All these features are self-explanatory and more details can be found in the data source listed below.

  • CountryID
  • Country Name
  • WEBNAME
  • Region
  • World Rank
  • Region Rank
  • 2019 Score
  • Property Rights
  • Judical Effectiveness
  • Government Integrity
  • Tax Burden
  • Gov't Spending
  • Fiscal Health
  • Business Freedom
  • Labor Freedom
  • Monetary Freedom
  • Trade Freedom
  • Investment Freedom
  • Financial Freedom
  • Tariff Rate (%)
  • Income Tax Rate (%)
  • Corporate Tax Rate (%)
  • Tax Burden % of GDP
  • Gov't Expenditure % of GDP
  • Country
  • Population (Millions)
  • GDP (Billions, PPP)
  • GDP Growth Rate (%)
  • 5 Year GDP Growth Rate (%)
  • GDP per Capita (PPP)
  • Unemployment (%)
  • Inflation (%)
  • FDI Inflow (Millions)
  • Public Debt (% of GDP)

Data Source:

This dataset belongs to The Heritage Foundation and is freely available to download on their website (https://www.heritage.org/index/ranking).

The Index of Economic Freedom considers every component equally important in achieving the positive benefits of economic freedom.

Each freedom is weighted equally in determining country scores.

Countries considering economic reforms may find significant opportunities for improving economic performance in those factors in which they score the lowest.

These factors may indicate significant binding constraints on economic growth and prosperity.

Owner
David Salako
David Salako
Adversarial Learning for Semi-supervised Semantic Segmentation, BMVC 2018

Adversarial Learning for Semi-supervised Semantic Segmentation This repo is the pytorch implementation of the following paper: Adversarial Learning fo

Wayne Hung 464 Dec 19, 2022
git《Beta R-CNN: Looking into Pedestrian Detection from Another Perspective》(NeurIPS 2020) GitHub:[fig3]

Beta R-CNN: Looking into Pedestrian Detection from Another Perspective This is the pytorch implementation of our paper "[Beta R-CNN: Looking into Pede

35 Sep 08, 2021
Instantaneous Motion Generation for Robots and Machines.

Ruckig Instantaneous Motion Generation for Robots and Machines. Ruckig generates trajectories on-the-fly, allowing robots and machines to react instan

Berscheid 374 Dec 23, 2022
GAN Image Generator and Characterwise Image Recognizer with python

MODEL SUMMARY 모델의 구조는 크게 6단계로 나뉩니다. STEP 0: Input Image Predict 할 이미지를 모델에 입력합니다. STEP 1: Make Black and White Image STEP 1 은 입력받은 이미지의 글자를 흑색으로, 배경을

Juwan HAN 1 Feb 09, 2022
Object tracking implemented with YOLOv4, DeepSort, and TensorFlow.

Object tracking implemented with YOLOv4, DeepSort, and TensorFlow. YOLOv4 is a state of the art algorithm that uses deep convolutional neural networks to perform object detections. We can take the ou

The AI Guy 1.1k Dec 29, 2022
Learning Pixel-level Semantic Affinity with Image-level Supervision for Weakly Supervised Semantic Segmentation, CVPR 2018

Learning Pixel-level Semantic Affinity with Image-level Supervision This code is deprecated. Please see https://github.com/jiwoon-ahn/irn instead. Int

Jiwoon Ahn 337 Dec 15, 2022
Deepfake Scanner by Deepware.

Deepware Scanner (CLI) This repository contains the command-line deepfake scanner tool with the pre-trained models that are currently used at deepware

deepware 110 Jan 02, 2023
A Keras implementation of YOLOv3 (Tensorflow backend)

keras-yolo3 Introduction A Keras implementation of YOLOv3 (Tensorflow backend) inspired by allanzelener/YAD2K. Quick Start Download YOLOv3 weights fro

7.1k Jan 03, 2023
Yolo Traffic Light Detection With Python

Yolo-Traffic-Light-Detection This project is based on detecting the Traffic light. Pretained data is used. This application entertained both real time

Ananta Raj Pant 2 Aug 08, 2022
Beginner-friendly repository for Hacktober Fest 2021. Start your contribution to open source through baby steps. 💜

Hacktober Fest 2021 🎉 Open source is changing the world – one contribution at a time! 🎉 This repository is made for beginners who are unfamiliar wit

Abhilash M Nair 32 Dec 11, 2022
Multi-Scale Aligned Distillation for Low-Resolution Detection (CVPR2021)

MSAD Multi-Scale Aligned Distillation for Low-Resolution Detection Lu Qi*, Jason Kuen*, Jiuxiang Gu, Zhe Lin, Yi Wang, Yukang Chen, Yanwei Li, Jiaya J

DV Lab 115 Dec 23, 2022
Generate images from texts. In Russian

ruDALL-E Generate images from texts pip install rudalle==1.1.0rc0 🤗 HF Models: ruDALL-E Malevich (XL) ruDALL-E Emojich (XL) (readme here) ruDALL-E S

AI Forever 1.6k Dec 31, 2022
The implementation of FOLD-R++ algorithm

FOLD-R-PP The implementation of FOLD-R++ algorithm. The target of FOLD-R++ algorithm is to learn an answer set program for a classification task. Inst

13 Dec 23, 2022
This is an open solution to the Home Credit Default Risk challenge 🏡

Home Credit Default Risk: Open Solution This is an open solution to the Home Credit Default Risk challenge 🏡 . More competitions 🎇 Check collection

minerva.ml 427 Dec 27, 2022
Official PyTorch implementation of the paper "Deep Constrained Least Squares for Blind Image Super-Resolution", CVPR 2022.

Deep Constrained Least Squares for Blind Image Super-Resolution [Paper] This is the official implementation of 'Deep Constrained Least Squares for Bli

MEGVII Research 141 Dec 30, 2022
Designing a Practical Degradation Model for Deep Blind Image Super-Resolution (ICCV, 2021) (PyTorch) - We released the training code!

Designing a Practical Degradation Model for Deep Blind Image Super-Resolution Kai Zhang, Jingyun Liang, Luc Van Gool, Radu Timofte Computer Vision Lab

Kai Zhang 804 Jan 08, 2023
Fast Axiomatic Attribution for Neural Networks (NeurIPS*2021)

Fast Axiomatic Attribution for Neural Networks This is the official repository accompanying the NeurIPS 2021 paper: R. Hesse, S. Schaub-Meyer, and S.

Visual Inference Lab @TU Darmstadt 11 Nov 21, 2022
BisQue is a web-based platform designed to provide researchers with organizational and quantitative analysis tools for 5D image data. Users can extend BisQue by implementing containerized ML workflows.

Overview BisQue is a web-based platform specifically designed to provide researchers with organizational and quantitative analysis tools for up to 5D

Vision Research Lab @ UCSB 26 Nov 29, 2022
Official implementation of Meta-StyleSpeech and StyleSpeech

Meta-StyleSpeech : Multi-Speaker Adaptive Text-to-Speech Generation Dongchan Min, Dong Bok Lee, Eunho Yang, and Sung Ju Hwang This is an official code

min95 168 Dec 28, 2022
This project aims to segment 4 common retinal lesions from Fundus Images.

This project aims to segment 4 common retinal lesions from Fundus Images.

Husam Nujaim 1 Oct 10, 2021