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Niketkumardheeryan / ML-CaPsule

ML-capsule is a Project for beginners and experienced data science Enthusiasts who don't have a mentor or guidance and wish to learn Machine learning. Using our repo they can learn ML, DL, and many related technologies with different real-world projects and become Interview ready.
MIT License
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GSSOC '24 : EDA-and-Perform-Modelling-on-Ionosphere-Dataset #599

Open sujanrupu opened 1 month ago

sujanrupu commented 1 month ago

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[bot] commented 1 month ago

Thanks for creating the issue

invigorzz313 commented 1 month ago

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

sudiptasarkar011 commented 1 month ago

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