https://github.com/vatshayan/pokemon-analysis

Visualization, Analysis & Predicting the accuracy of finding Pokemon power, attack & speed through Machine Learning
https://github.com/vatshayan/pokemon-analysis

artificial-intelligence data data-analysis data-science data-visualization dataset machine-learning machine-learning-algorithms pokemon scikit-learn

Last synced: 27 days ago
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Visualization, Analysis & Predicting the accuracy of finding Pokemon power, attack & speed through Machine Learning

• Host: GitHub
• URL: https://github.com/vatshayan/pokemon-analysis
• Owner: Vatshayan
• Created: 2018-10-05T15:15:17.000Z (over 6 years ago)
• Default Branch: master
• Last Pushed: 2018-10-05T19:22:45.000Z (over 6 years ago)
• Last Synced: 2024-11-15T02:05:30.510Z (3 months ago)
• Topics: artificial-intelligence, data, data-analysis, data-science, data-visualization, dataset, machine-learning, machine-learning-algorithms, pokemon, scikit-learn
• Homepage: https://www.cse-projects.com
• Size: 19.5 KB
• Stars: 0
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# Pokemon-Analysis

Dataset will be Visualized and Analysed through various Machine Learning Libraries & Algorithm. 

Prediction of Finding speed, power & attack from the given Datasets. 

Dataset source (Reference):

It is a compilation of data from the following links:

http://www.pokemon.com/us/pokedex/

https://pokemondb.net/pokedex

https://bulbapedia.bulbagarden.net/wiki/List_of_Pok%C3%A9mon_by_National_Pok%C3%A9dex_number

Parameters in the dataset:

" # " - Pokemon Number

NAME

TYPE 1

TYPE 2

TOTAL

HP - High Power

ATTACK

DEFENSE

SP. ATK

SP. DEF

SPEED

GENERATION

LEGENDARY