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.
Unbeatable_TicTacToe A tictactoe where you never win, implemented using minimax algorithm Requirements Make sure you have the pygame module along with
Pigment The problem of partitioning up a skincare regime into parts such that each part does not interfere with itself is equivalent to the minimal cl
norm-tol-int Exact algorithm for computing two-sided statistical tolerance intervals under a normal distribution assumption using Python. Methods The
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
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 algorithms are allowed. Useful shortcut functions for signing (and validating) dictionaries and URLs.
Cutting Stock Problem Cutting Stock Problem (CSP) deals with planning the cutting of items (rods / sheets) from given stock items (which are usually o
8QueensGenetic A Python project for optimizing the 8 Queens Puzzle using the Genetic Algorithm implemented in PyGAD. The project uses the Kivy cross-p
Sudoku sudoku solver using CSP forward-tracking algorithms. Description Sudoku is a logic-based game that consists of 9 3x3 grids that create one larg
QueensProblem A program to easily solve the n-queens problem using min-conflicts algorithm Performances estimated with a sample of 1000 different rand
crab-knn implementation of the KNN algorithm in Python applied to biometrics data of purple rock crabs (leptograpsus variegatus) to classify the sex o
Distributed Grid Descent: an algorithm for hyperparameter tuning guided by Bayesian inference, designed to run on multiple processes and potentially many machines with no central point of control.
iAWE is a wonderful dataset for those of us who work on Non-Intrusive Load Monitoring (NILM) algorithms. You can find its main page and description via this link. If you are familiar with NILM-TK API, you probably know that you can work with iAWE hdf5 data file in NILM-TK.
zoofs is a Python library for performing feature selection using a variety of nature-inspired wrapper algorithms. The algorithms range from swarm-intelligence to physics-based to Evolutionary. It's easy to use , flexible and powerful tool to reduce your feature size.
Algorithmic trading backtest and optimization examples using order book imbalances. (bitcoin, cryptocurrency, bitmex)
FingerPy is a algorithm using python, scipy and fft to measure, analyse and monitor heart-beat using only a video of the user's finger on a m
Romanian-problem-using-Astar-and-GBFS Using A * search algorithm and GBFS search algorithm to solve the Romanian problem Romanian problem: The agent i
SortingVisualiser Sorting Algorithm Visualiser using pygame Features Visualisation of some traditional sorting algorithms like quicksort and bubblesor
A Python Package for Portfolio Optimization using the Critical Line Algorithm
?? Training the car to do self-parking using a genetic algorithm
3 Jul 28, 2022
1 Nov 22, 2021
1 Jan 6, 2022
3 Jul 20, 2022
39 Jun 10, 2022
87 Dec 31, 2022
16 Nov 13, 2022
0 Dec 27, 2021
0 Oct 21, 2022
1 Nov 18, 2021
1 Jan 1, 2022
3 Mar 19, 2022
168 Dec 30, 2022
172 Dec 21, 2022
37 Oct 21, 2022
6 Nov 22, 2022
4 Sep 5, 2021
19 Oct 11, 2022
652 Jan 3, 2023