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.
NuPIC Core This repository contains the C++ source code for the Numenta Platform for Intelligent Computing (NuPIC)
DarkRiftPy is Darkrift2 written in Python 3. The implementation is fully compatible with the original version. So you can write a client side on Python that connects to a Darkrift2 server written in
QueensProblem A program to easily solve the n-queens problem using min-conflicts algorithm Performances estimated with a sample of 1000 different rand
Overview This repository implements some common path planning algorithms used in robotics, including Search-based algorithms and Sampling-based algori
SortingVisualiser Sorting Algorithm Visualiser using pygame Features Visualisation of some traditional sorting algorithms like quicksort and bubblesor
PyPattyrn from pypattyrn.creational.singleton import Singleton class DummyClass(object, metaclass=Singleton): # DummyClass is now a Singleton!
Primedice like provably fair algorithm
Collaborative Filtering - Netflix movie reviews Description This project consists of a collaborative filtering algorithm to predict movie reviews rati
Nature-inspired algorithms are a very popular tool for solving optimization problems. Numerous variants of nature-inspired algorithms have been develo
Algorithms and Data Structures (ands) Introduction This project was created for personal use mostly while studying for an exam (starting in the month
Infomap Infomap is a network clustering algorithm based on the Map equation. For detailed documentation, see mapequation.org/infomap. For a list of re
transitions A lightweight, object-oriented state machine implementation in Python with many extensions. Compatible with Python 2.7+ and 3.0+. Installa
PICO is an algorithm for exploiting Reinforcement Learning (RL) on Multi-agent Path Finding tasks. It is developed by the Multi-Agent Artificial Intel
Asynchronous-Anisotropic-Diffusion-Algorithm This is a demo for AAD algorithm. The subroutine of the anisotropic diffusion algorithm is modified from
Descpritpion This project solves the Taquin game (jeu de taquin) problem using different algorithms : A* (with 2 heuristic functions), BFS , DFS and D
Documentation Neostox doesnt have an API Support, so this is a little selenium code to automate strategies How to use Clone this repository and then m
Harvest is a Python based framework providing a simple and intuitive framework for algorithmic trading. Visit Harvest's website for details, tutorials
aitk.robots A lightweight Python robot simulator for JupyterLab, Notebooks, and other Python environments. Goals A lightweight mobile robotics simulat
causal-learn: Causal Discovery for Python Causal-learn is a python package for causal discovery that implements both classical and state-of-the-art ca
The shitspotter module is where I will be work on the "shitspotter" poop-detection algorithm and dataset. The primary goal of this work is to allow for the creation of a phone app that finds where yo
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