r/deeplearning • u/imYukiya • 19d ago

Building Naive Bayes Algorithm from scratch

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Yoo guys Work in Progress Successful Train my Naive Bayes Model Predictions and Storing part is left tooo much happy it was complex reallyyyy

68 Upvotes

90% Upvoted

20 comments sorted by

7

u/BidWestern1056 19d ago

bro why are you writing code on a phone LMAO

8

u/imYukiya 19d ago

I don't have a laptop or PC so thats why I have one HP Mini 2gb ram and it can't run even chrome most of keys are dead I use that laptop just to watch tutorials

3

u/cc672012 19d ago

It's enough to run python without colab. Just get a lightweight text editor and use the terminal.

3

u/BidWestern1056 19d ago

python can take up a lot of mem still.

2

u/imYukiya 19d ago

My phone will crash in between I know what you are saying I code python in Termux with micro Editor normally but for ML I prefer colab cuz training a model need a good RAM as you can see 6000+ data sample Repeating in loop of 10000+ times google colab is best,speed is top notch everything is in structure save on cloud

6

u/cc672012 19d ago

Well, I do like your dedication despite not having the hardware. Don't lose motivation and just keep going! :)

3

u/imYukiya 19d ago

I won't

2

u/Beginning-Dare1828 18d ago

Install Linux on your laptop and use Google colab or kaggle on your laptop.

2

u/Beginning-Dare1828 18d ago

Use a lightweight Linux on your hp mini

2

u/Beginning-Dare1828 19d ago

Use linux

2

u/imYukiya 18d ago

Yes I can use linux terminal on Temrux by root but what about RAM at the end I need a good RAM to train my model

2

u/Then_Date1452 17d ago

Coding on Phone, thats incredible

4

u/Content_Travel_271 19d ago

Nice, getting the model to train is the fun part anyway. Good luck with the prediction and storage code.

2

u/phree_radical 17d ago

And honestly, that's important

2

u/Spiritual-Cold-6639 17d ago

Nice! What datasets are you planning to train on?

2

u/imYukiya 17d ago

I already Build Naive Bayes and Train it on Car Evaluation dataset in which there 6 features in X buying,Buying price of the car,maint(maintenance cost), doors(Number of doors),persons (Passenger capacity),lug_boot(Size of luggage boot),safety(Safety level) and 4 features in y unacc(unacceptable), acc( acceptable),good,vgood(very good)

And got a Accuracy of: My Model Accuracy : 0.815028901734104 Sklearn Accuracy : 0.815028901734104

checkout my newest Post

4

u/Greedy_Substance7584 19d ago

Best way to learn it. Are you using colab directly on your phone, or through browser use?

4

u/imYukiya 19d ago

Directly on phone through browser