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An article on ANNs and how they work, along with the mathematics associated with it, can come under the Intermediate track.
Additionally, you can also add a started notebook in PyTorch or Tensorflow for using ANNs for classification/regression.

NOTE: Make sure that the content is not plagiarized.

Hello there, I found a small typo in SVM.md thought of fixing it. I have gone through Contributing Guidelines.
Here's a snapshot of the typo I found.

I think it must be 'SVM are used mostly for classification type problems'.
I would like to fix this issue.

The below mentioned additions are required -

• Math - We need to add a solved example to show the working of the algorithm. To be precise, a pen and paper example of the math behind the algorithm with help of images like we have used for other algorithms.

With improvements being made in all the tracks, we are also looking forward to expand the Advanced track and are open to take in your suggestions. Before posting your suggestions, make sure that you have visited the website at least once and are aware of the pre existing content on the page.

We are planning to expand the platform further and trying to bring in more quality content for the page. Suggestions regarding what should be added to the Intermediate Track are welcome under this issue. We will further select and assign the respective issues to the people based on their suggestions.

The theory part for the Linear regression in Easy track is not up to the mark from the feedbacks that we have received. Hence, we are trying to upgrade it and make it better. Additions that we are planning to make -

• Theory - Content that's easy to understand and hits on the important and core topics of Linear Regression.
• Math - Inclusion of the complete math of Linear Regression along with examples.

We are looking forward to improve the content of Logistic Regression and we wish to add the below mentioned changes -

• Theory - The explanation right now is good but we would like to have something that's easier for the people to understand and grasp.
• Math - We need to include a solved example to demonstrate the mathematical intuition of Logistic regression.

Each time a PR is made for a new content article, right now we have to manually perform a plagiarism check on the articles. Create a GitHub action workflow for automating this process. You can use some of the open-source/free plagiarism detection websites on the internet for the same.

I would like to improve and add a new documentation for this repository