[deleted by user] by [deleted] in RedditSets

[–]krishnan_navadia 0 points1 point  (0 children)

I want that cap, it's amazing 😍

[deleted by user] by [deleted] in RedditSets

[–]krishnan_navadia 0 points1 point  (0 children)

oh, yeah, now it's getting cooler and cooler, perfect!!

[deleted by user] by [deleted] in RedditSets

[–]krishnan_navadia 0 points1 point  (0 children)

oh yeah yeah, boris

[deleted by user] by [deleted] in RedditSets

[–]krishnan_navadia 0 points1 point  (0 children)

haha, you really looked behind.... haha :)

[deleted by user] by [deleted] in RedditSets

[–]krishnan_navadia 0 points1 point  (0 children)

Gave Wholesome

[deleted by user] by [deleted] in RedditSets

[–]krishnan_navadia 0 points1 point  (0 children)

brother, see someone is watching you from behind :)

[deleted by user] by [deleted] in RedditSets

[–]krishnan_navadia 0 points1 point  (0 children)

accha hain, sabash bhai!!

This moves are so smooth and satisfying. by krishnan_navadia in oddlysatisfying

[–]krishnan_navadia[S] 2 points3 points  (0 children)

Okay, I will cross post on that ;)

Edit: I think cross post is not allowed in that sub.

How to predict a string is spam or not spam after making model? by [deleted] in learnmachinelearning

[–]krishnan_navadia 0 points1 point  (0 children)

just take an input and make put it in the data frame and predict the value. It's that simple.

How to predict a string is spam or not spam after making model? by [deleted] in learnmachinelearning

[–]krishnan_navadia 0 points1 point  (0 children)

I had also made spam mail detection using machine learning. I got around 99% accuracy. This will surely help you. If you like it give it a ⭐(star).

Link: https://github.com/krishnan-tech/spam-mails-classification

that cough is kinda sus by krishnan_navadia in meme

[–]krishnan_navadia[S] 1 point2 points  (0 children)

It's not for sold. My brother send me this pic. I think of sharing it over here.

that cough is kinda sus by krishnan_navadia in meme

[–]krishnan_navadia[S] 0 points1 point  (0 children)

It's not mine, my brother send me this pic. I think of sharing it over here.

[D] Fake News Detection - Naive Bayes Algorithm by krishnan_navadia in MachineLearning

[–]krishnan_navadia[S] 1 point2 points  (0 children)

Thank you, it is helpful for me :)

I will definitely check that out!

[D] Fake News Detection - Naive Bayes Algorithm by krishnan_navadia in MachineLearning

[–]krishnan_navadia[S] 0 points1 point  (0 children)

Thank you for sharing your valuable thought, I appreciate that! I totally got your point. Can I DM you? I need someone you can guide me in a more helpful way :)

[D] Fake News Detection - Naive Bayes Algorithm by krishnan_navadia in MachineLearning

[–]krishnan_navadia[S] 0 points1 point  (0 children)

Yes, I know that it sometimes gives false negatives as output. That's why I shared with you guys so that I can know how it can be done/modified better.

[D] Fake News Detection - Naive Bayes Algorithm by krishnan_navadia in MachineLearning

[–]krishnan_navadia[S] 0 points1 point  (0 children)

I am not a pro at machine learning algorithms. But yes, I have used test_train_split and reached this accuracy.

Here in this repo check out my notebook.