Write the K Nearest Neighbors classifier from scratch in Python. Test it on email spam classification dataset.
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Updated
Aug 4, 2022 - Python
Write the K Nearest Neighbors classifier from scratch in Python. Test it on email spam classification dataset.
"One Hidden Layer Neural Network" from Scratch
Includes the codes and report for Take Home Exam 2 of the CENG483 course (Introduction to Computer Vision). The purpose of this THE is to gain insight related to harris interest point detection.
A brand new programming language designed for developers with diverse coding interests! Yes, it's free to star 🌟!
Includes the codes and report for Take Home Exam 1 of the CENG483 course (Introduction to Computer Vision). The purpose of the THE is familiarize ourselves with the concept of various types of histogram.
This repository explores building a character-level transformer decoder in PyTorch, similar to GPT while focusing more on understanding individual components. My goal is to gain deep transformer knowledge and see if character-level learning improves handling of unseen words. The code allows for hyperparameter tuning and experiment customization.
"Deep Neural Network" from Scratch
Neural Networks: Zero to Hero
"CNN" from Scratch
MNIST Digit Detector Model using only Numpy
This is the source code of the work for Assignment-2, Statistical Methods in AI, 5th Semester, IIITH, '22
"Logistic Regression" from Scratch
raw implementation of the binary classification machine learning algorithm w/ only numpy 😯📊
Collection of implementations from scratch (mostly ML)
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