https://github.com/singh-dhruv/data-visualization-with-accuracy-metrics

Welcome to this repository! Here we loaded the iris_dataset , upon training, testing and perform operations on it resulted in beautiful data visualizations along with accuracy metrics. Data Visualization and accuracy metrics are provided for some of the models that are used.
https://github.com/singh-dhruv/data-visualization-with-accuracy-metrics

accuracy-metrics data-visualization hyperparameter-optimization knn-model logistic-regression svm-model

Last synced: 12 months ago
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Welcome to this repository! Here we loaded the iris_dataset , upon training, testing and perform operations on it resulted in beautiful data visualizations along with accuracy metrics. Data Visualization and accuracy metrics are provided for some of the models that are used.

• Host: GitHub
• URL: https://github.com/singh-dhruv/data-visualization-with-accuracy-metrics
• Owner: singh-dhruv
• Created: 2024-07-14T23:18:58.000Z (almost 2 years ago)
• Default Branch: main
• Last Pushed: 2025-01-13T15:07:05.000Z (over 1 year ago)
• Last Synced: 2025-03-03T02:18:03.768Z (over 1 year ago)
• Topics: accuracy-metrics, data-visualization, hyperparameter-optimization, knn-model, logistic-regression, svm-model
• Language: Jupyter Notebook
• Homepage:
• Size: 856 KB
• Stars: 1
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

README

          
Data Visualization and Accuracy Metrics

This analysis shows:

* How to graphically visualize your dataset using iris_dataset

* How to calculate Accuracy score using multiple models.

* How to compare the score across multiple models

Highlights

* Load Dataset

* Data Inspection

* Data Inspection

* Some EDA with Iris_df

* Split the DataFrame into features and response

* Perform 10-fold Cross Validation

* Build Models

* Hyperparameter Optimization

 - Decision Tree Classifier

 - Rain Forest Classifier

 - Logistic Regression

 - KNN

 - SVM