GSSOC '24 : EDA-and-Perform-Modelling-on-Ionosphere-Dataset

[sujanrupu]

Project Description:

The following project aims to predict class using various technical specifications (features) as input to the logistic regression algorithms.

Database Description:

Number of Instances: 351
Number of Attributes: 35 including the class attribute

Attribute Information:

Target column :-
Class Feature Columns range- V1- V35

Libraries Involved:

pandas
Numpy
Seaborn
Matplotlib
Sklearn
scikit-plot
pingouin
Steps Involved:
Importing the libraries
Loading the dataset
Data Preprocessing
train and test data split
Building the model
Compare model performance
selection model based on performance
Evaluation
Plot ROC and AUC curve

[github-actions]

Thanks for creating the issue

[invigorzz313]

The issue has been assigned to you @sujanrupu.
Do follow the project guidelines for PR.

[sudiptasarkar011]

I would like to work on this project, could you please assign this to me too?