Implement new ML Algorithms

[mayureshagashe2105]

Some of the most common ML Algorithms are listed below. Feel free to suggest other algorithms, not on the list. and we'll update it.

Name

• Multiple Linear Regression
• Lasso Regression
• Ridge Regression
• Elastic-Net Regression
• Polynomial Regression
• CatBoost Regression
• Naive Bayes
• K- nearest neighbors
• Support vector machines
• K-means
• K-medoids
• Decision Trees
• Linear Discriminant Analysis
• Principal Component Analysis

Brief explanation

• Provide a neat README file in the directory. There are two existing algorithms in the repository, please follow a similar folder structure and document your code with proper markdown syntax/comments.

[Shreyashmohadikar]

I would like to contribute by adding the implementation of Naive Bayes
Kindly assign the issue to me
Thank You

[HemanthSai7]

@Shreyashmohadikar Yes, sure! You can continue working on the implementation of the algorithm. Assigning the issue to you.

[ramyashreeshetty]

Hello, I would like to contribute. Is it fine if i complete one of the them?

[HemanthSai7]

Hi @ramyashreeshetty ,
Sure go ahead. You can select any algorithm which has not already been chosen. Once you are done make a PR.
Thanks.

[AAnirudh07]

Hi! I'd like to implement Lasso Regression.

[mayureshagashe2105]

Hi @AAnirudh07 ,
Sure go ahead. Once you are done make a PR. Feel free to reach out in case of any queries.
Thanks.

[kitrakrev]

Hi, I would like to implement Linear Discriminant analysis

[HemanthSai7]

Sure @kitrak-rev , Assigning this issue to you!🎉Once you are done make a PR. Feel free to reach out in case of any queries.
Thanks.