Shed Skin is a restricted-Python-to-C++ compiler. Read the introduction below to learn about the restrictions.

This project focuses on cloud data security by designing an optimized key generation scheme for data protection and a deep learning model for user attack detection. The data protection scheme encrypts data before uploading it to the cloud, while the attack detection module uses a deep learning model to identify malicious users

This repository provides a comprehensive machine learning course with theoretical concepts and practical implementations

This is the repository for our group project for Discrete Maths course. Our topic was famous travelling salesman problem.

k-Nearest Neighbors Algorithm with p-adic Distance

evaluation metrics implementation in Python from scratch

Répertoire Python pour le codage Huffman. Comprend des fonctions d'encodage et de décodage, ainsi qu'une classe Noeud pour la construction de l'arbre de Huffman. Facile à utiliser avec une licence MIT.

Python implementation of popular machine learning algorithm

Tranpose operator

[ICLR 2023] ReScore: Boosting Causal Discovery via Adaptive Sample Reweighting

This project is an implementation of Principal Component Analysis (PCA) in Python. PCA is a technique for dimensionality reduction and data visualization that aims to find the most important underlying patterns in a dataset.

This is a project that implements the K-Nearest Neighbors (KNN) algorithm in Python. KNN is a machine learning algorithm used for classification or regression based on training data, and is an unsupervised learning model. This implementation allows you to train a KNN model on training data and classify new data.

This repository contains an implementation of the K-Means clustering algorithm in Python. K-Means is an unsupervised machine learning algorithm that finds clusters in an N-dimensional space. The implementation provided in this repository allows users to apply K-Means to their own data sets and visualize the resulting clusters.

This repository contains an implementation of an anomaly detection algorithm using Gaussian distribution. The algorithm can be used to identify and remove anomalies from data sets.

This repository contains implementations of linear regression using both gradient descent and linear algebra techniques. The goal of these implementations is to provide a thorough understanding of the linear regression algorithm and its various approaches to solving for the optimal model parameters.

GausianEliminationMethod-Implementation is a project that demonstrates the implementation of the Gaussian elimination method in Python. This method is used to solve systems of linear equations and involves manipulating the equations in a specific way to eliminate variables and obtain a unique solution.

(Adkins & Paxson) Analytical Method Modelling on Sequential Investment Opportunites for Project Valuations.

Contains the architecture of neural network in python (without using any framework)

Snake Xenzia implemented in python

Python Implementation of the Classic Flappy Bird game.