firmangel8/fundamental-k-means-clustering firmangel8/fundamental-k-means-clustering

  • Stars
    star
    3
  • Rank 3,947,104 (Top 79 %)
  • Language
    Jupyter Notebook
  • Created almost 2 years ago
  • Updated almost 2 years ago
Twitter logo Share LinkedIn logo Share Facebook logo Share
firmangel8/fundamental-k-means-clustering
github

firmangel8

Reviews

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Repository Details

Demonstrate fundamental clustering method using K-means (Unsupervised Learning Algorithm).

More Repositories

1

fundamental-data-outlier-detection

Fundamental data cleaning based on correlation result, and data outlier.
Jupyter Notebook
3
star
2

flutter-layout

This project aims to provide a code base for students to practice layout techniques.
Dart
2
star
3

react-html-component-converter

Demonstrate modules to convert html component into react component.
HTML
1
star
4

textedit-theme-ubuntu

Playground to optimize theme textedit, Ubuntu 20.04
1
star
5

twin-mobile

twin-mobile
Java
1
star
6

elixir-solution

Elixir solution based on practice in the exercism platform
Elixir
1
star
7

coffee-leaf-disease-cnn

Coffee Leaf Diseases classification using Convulutional Neural Network (Deep Learning). Using Mobilenet architectures
1
star
8

nationalities-currency-utilities

Share resources to get nationalities property and curreny, it usefull in mobile and web apps development.
1
star
9

genserver-elixir

Best practice to create CRUD using GenServer Elixir
1
star
10

inhealth-operator-paramasidhi-hospital

Inhealth Operator is tools to maintain integration data between Medical Information Systems Paramasidhi - Singaraja and Mandiri Inhealth Insurances.
HTML
1
star
11

file-renamer

Python Helper to rename files with counter filename
Python
1
star
12

yaru-dark-mac

Repository for gtk 3.20 themes in Ubuntu, based on Yaru themes. Base theme adopted by Yaru-MacosDark
CSS
1
star
13

news-scrapper-research-kmeans-tfidf

Research in web scrapping technology using K-Means methodology. Aim of this research to collect information and evaluate it, result of evaluation as cluster of information destination in Bali
JavaScript
1
star
14

research-distributed-messaging

Research about realtime handling message into web platform. Running on Node Environment
JavaScript
1
star
15

sentiment-analysis-albert

Demonstrate pipelines of sentiment analysis research. Use Bidirectional Encoder Representations from Transformers(BERT). Transformers based, a deep learning model in which every output element is connected to every input element, and the weightings between them are dynamically calculated based upon their connection
Python
1
star
16

coffee-diseases-cnn-exploration

Coffee Leaf Disease Classficiation using CNN (Alexnet, Resnet, MobileNet, EfficientNetB0 - EfficientNetB7)
Python
1
star
17

image-batch-compressor

Utility to compress batch image. Support with folder custom destination and dynamic (widht, height) images.
Python
1
star
18

final-exam-dataset-diabetes

Demostrate data exploration, cleaning dan transforming data diabetes.csv. This case only to use final examination of data science class.
Jupyter Notebook
1
star