My first github project.
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Updated
Mar 11, 2018 - Python
My first github project.
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
Implementations of ID3, naive bayes, logistic regression, bagging and adaboosting, along with a handy light-weight evaluation library
This solution ranked 1st in the inclass competition on Kaggle out of 43 teams. The data challenge is a project taken to climax the kernel methods in machine learning course at AMMI-2020, aimed at the implementation of machine learning algorithms to gain understanding and further adapt them to structural data (DNA sequence data). In this report, …
My own quick and basic implementations for Machine Learning Decision Tree classifier algorithm!
Zero-Shot Recognition through Image-Guided Semantic Classification
My solutions to codeforces problems written in Python.
🔑 All Algorithms implemented in Python
Implementation of NaiveBayes algorithm with python.
This repository contains 100 days of leetcode questions and their solutions.
Last year of BA in computer science project. Subject : Shadows in animation and video games
ChannelAug: A New Approach to Data Augmentation for Improving Image Classification Performance in Uncertain Environments (Journal of KIISE 2020)
Implementing algorithms and data structures entirely from scratch
Implements modified version of the Pegasos (Primal Estimated Sub-Gradient Solver for SVM) algorithm as well as Perceptron and Average Perceptron for comparison
Computer Vision Project to Detect Stop Signs in an Image. Written from scratch in python. No computer vision or image processing libraries used
Implementation of spectral CNN in Pytorch
Implementation of Linear Regression from scratch to predict stock prices
Implementations (from scratch), applications, and visualizations of key machine learning methods from UBC CPSC 532M/340: Machine Learning & Data Mining and UBC CPSC 540/440: Advanced Machine Learning
implementation of some machine learning methods.
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