evil-in / pokemon_analysis

An analysis of a Pokemon dataset including insights, visualisations, cluster analysis and a logistic regression model

An analysis of a Pokemon dataset

Includes insights, visualisations, cluster analysis and a logistic regression model.

• Dataset: Dataset obtained from Kaggle
• Code: Notebook

Techniques used:

• Cluster Analysis: Using K-means clustering technique to group similar pokemon based on their characteristics.

• Logistic Regression Model: Classification algorithm to predict if a pokemon is legendary or not.