Open vkassingh opened 4 years ago
ML algos stuff is all good and fine. But how about adding a ML-prerequisites folder too, which will include all the essential tutorials for python libraries (Pandas, Seaborn, Scikitlearn, etc) required to build a solid foundation before jumping on ML concepts ?
Maybe we could also get in some code for some simple examples using the algorithms. I think that would really help people out, because I learn best when I'm hands-on. I could add some examples in Python and MATLAB if you'd like!
Yes why not! You are free to make contributions and learn. So go ahead!
Make quality contribution!
Have a Good day! Vikas Singh
On Wed, Oct 14, 2020, 12:56 AM AniruthA notifications@github.com wrote:
Maybe we could also get in some code for some simple examples using the algorithms. I think that would really help people out, because I learn best when I'm hands-on. I could add some if you'd like!
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Ok @vkassingh ! I finished two examples (Logistic and Linear Regression), written from scratch. By the way, could you add the hacktoberfest topic to your repo. I would like for this to count towards my PR count.
Sure I will add both the hacktober fest labels today!
Have a great day ahead Vikas Singh
On Fri, Oct 16, 2020, 9:25 PM AniruthA notifications@github.com wrote:
Ok @vkassingh https://github.com/vkassingh ! I finished two examples (Logistic and Linear Regression), written from scratch. By the way, could you add the hacktoberfest topic to your repo. I would like for this to count towards my PR count.
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Thanks a lot @vkassingh . I hope you have a great day as well!
I added the Q Learning (Reinforcement Learning) example!
I also added the Minimax example.
I also added the Minimax example.
well you can create a seperate folder of examples with seperate topics and remember It should be beginner freindly.
ML algos stuff is all good and fine. But how about adding a ML-prerequisites folder too, which will include all the essential tutorials for python libraries (Pandas, Seaborn, Scikitlearn, etc) required to build a solid foundation before jumping on ML concepts ?
Yes good idea, you are free to make contribtutions here! go ahead
Sure! Don't forget to add examples and applications of the concept.
On Tue, 11 Oct, 2022, 8:38 pm Suvodeep Das, @.***> wrote:
Full Name: Suvodeep Das GitHub Profile Link: https://github.com/Suvodeep-Das Objective: I would like to provide some codes on some basic machine learning algorithms like logistic regression, Decision tree and random forest. Hacktoberfest Participant.
I would like to work on this issue.
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first try
Hello. Can you describe the issue please?