Sonar Dataset

[ASLManasa]

ML-Crate Repository (Proposing new issue)

:red_circle: Project Title : Sonar Dataset :red_circle: Aim : To predict whether or not an object is a mine or a rock given the strength of sonar returns at different angles. :red_circle: Dataset : https://www.kaggle.com/ypzhangsam/sonaralldata :red_circle: Approach : Try to use 3-4 algorithms to implement the models and compare all the algorithms to find out the best fitted algorithm for the model by checking the accuracy scores. Also do not forget to do a exploratory data analysis before creating any model.

Hello, ML-Crate contributors, this issue is only for the contribution purposes and allocated only to the participants of SWOC 2.0 Open Source Program.

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📍 Follow the Guidelines to Contribute in the Project :

• You need to create a separate folder named as the Project Title.
• Inside that folder, there will be four main components.
  • Images - To store the required images.
  • Dataset - To store the dataset or, information/source about the dataset.
  • Model - To store the machine learning model you've created using the dataset.
  • requirements.txt - This file will contain the required packages/libraries to run the project in other machines.
• Inside the Model folder, the README.md file must be filled up properly, with proper visualizations and conclusions.
• A Demo Project has been created to guide you about the whole structure of presenting the Project in this repository. Here's the link of the Demo Project - https://github.com/abhisheks008/ML-Crate/tree/main/Project-Demo-Folder

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:red_circle::yellow_circle: Points to Note :

• The issues will be assigned on a first come first serve basis, 1 Issue == 1 PR.
• "Issue Title" and "PR Title should be the same. Include issue number along with it.
• Follow Contributing Guidelines & Code of Conduct before start Contributing.
• This issue is only for 'SWOC' contributors of 'ML-Crate' project.

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:white_check_mark: To be Mentioned while taking the issue :

• Full name :
• GitHub Profile Link :
• Participant ID :
• Approach for this Project :
• Are you a participant of SWOC 2.0?
  • [ ] YES
  • [ ] No

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Happy Contributing 🚀

All the best. Enjoy your open source journey ahead. 😎

[deepthi1107]

Full name : Deepthi M GitHub Profile Link : https://github.com/deepthi1107 Participant ID : 294 Approach for this Project: EDA, SVM, random forest, decision tree Are you a participant of SWOC 2.0? YES

[abhisheks008]

Issue assigned @deepthi1107

[tandrimasingha]

@abhisheks008 Sir, I want to work on this project.

Full name : Tandrima Singha GitHub Profile Link: https://github.com/tandrimasingha Participant ID: 1044 Approach for this Project: To predict whether or not an object is a mine or a rock given the strength of sonar returns at different angles for which we need to use a classification algorithm. Performing EDA Are you a participant in SWOC 2.0? YES

[ASLManasa]

@deepthi1107 what is the update?

[tandrimasingha]

Sir if she could not do this. Please assign this project to me if possible. I'll do it in two days.

[deepthi1107]

sir by tomorrow i will do pr, sorry for being late

[abhisheks008]

@deepthi1107 what's the update here?

[deepthi1107]

sorry sir for being late, i will do it by tomorrow.

[abhisheks008]

@deepthi1107 ?

[sankalp-srivastava]

Full name : Sankalp Srivastava GitHub Profile Link : www.github.com/sankalp-srivastava Participant ID : 857 Approach for this Project : A basic EDA and creating different models and comparing them. Are you a participant of SWOC 2.0?

• [x] YES
• [ ] NO

[ASLManasa]

@sankalp-srivastava assigning to you.