Make Sure the dataset file "spamData.mat" is in the folder
Environment: Python --version >= 3.7 Third Party: numpy, matplotlib, math, scipy.io
Interactive: (1) Open Anaconda Prompt or Python environment prompt (2) Navigate to ..\spam\src\
Description: This code implemented classifiers for Spam classification using four methods and then find the error rates: Q1 Beta-Binomial Naïve Bayes, Q2 Gaussian Naïve Bayes, Q3 Logistic Regression with L2 regularization, Q4 K-Nearest Neighbors.
This Python package provides hashing algorithms for computing cohort ids of users based on their browsing history. As such, it may be used to compute cohort ids of users following Google's Federated
Page Rank Implemented page rank program based on fact that a website is more important if it is linked to by other important websites using recursive
RRT-Algorithm-Visualisation This is a project that aims to develop upon the RRT
🧬 Performant Evolutionary Algorithms For Python with Ray support
Description Implements (high-dimenstional) clustering algorithm described in https://arxiv.org/pdf/1804.02624.pdf Dependencies python3 pytorch (=0.4)
Distribution System Model Calibration Algorithms The code in this library was developed by Sandia National Laboratories under funding provided by the
Algoritmos-de-Buscas Algoritmos de busca: Abaixo está a interface da aplicação: Ao selecionar o tipo de busca e o caminho, então será realizado o cálc
Python implementation of Aho-Corasick algorithm for string searching
A gym-like classical control benchmark for evaluating the robustnesses of control and reinforcement learning algorithms.
Ordered Dithering Project In this project, we use an ordered dithering method to turn an RGB image, first to a gray scale image and then, turn the gra
Simple-Kmeans-Clustering-Algorithm Abstract K-means is a centroid-based algorithm, or a distance-based algorithm, where we calculate the distances to
Fast implementation of the MuyGPs Gaussian process hyperparameter estimation algorithm MuyGPs is a GP estimation method that affords fast hyperparamet
A Python Package for Portfolio Optimization using the Critical Line Algorithm
norm-tol-int Exact algorithm for computing two-sided statistical tolerance intervals under a normal distribution assumption using Python. Methods The
Marching Squares marching Squares algorithm in python with clean code. Tools Python 3 EasyDraw Creators Mohammad Dori Run the Code Installation Requir
Sorting-Algorithms - All information about sorting algorithm you need and you can visualize the code tracer
Grover Knights Welcome to my Knights project! Project Description: I explore an implementation of a quantum oracle for knights on a chessboard.
PicsToSheets How it works? It is an algorithm designed to transform an image into a spreadsheet file. this converts image pixels to color cells of she
Sign data using symmetric-key algorithm encryption. Validate signed data and identify possible validation errors. Uses sha-(1, 224, 256, 385 and 512)/hmac for signature encryption. Custom hash algori
A minimal implementation of the IQRM interference flagging algorithm for radio pulsar and transient searches. This module only provides the algorithm that infers a channel mask from some spectral sta
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