https://github.com/alpsayin/genetic-algorithm-matlab

A very simple Genetic Algorithm implementation for matlab, easy to use, easy to modify runs fast.

cost-function cost-optimization genetic-algorithm heuristic-search-algorithms heuristics matlab optimisation optimisation-algorithms

Last synced: 14 Apr 2025

https://github.com/khaledashrafh/logistic-regression

This program implements logistic regression from scratch using the gradient descent algorithm in Python to predict whether customers will purchase a new car based on their age and salary.

activation-function cost-function data-preprocessing logistic-regression model preprocessing regression-models sigmoid sigmoid-activation sigmoid-function

Last synced: 02 Feb 2025

https://github.com/devinterview-io/cost-function-interview-questions

🟣 Cost Function interview questions and answers to help you prepare for your next machine learning and data science interview in 2024.

ai-interview-questions coding-interview-questions coding-interviews cost-function cost-function-interview-questions cost-function-questions cost-function-tech-interview data-science data-science-interview data-science-interview-questions data-scientist-interview interview-practice interview-preparation machine-learning machine-learning-and-data-science machine-learning-interview machine-learning-interview-questions software-engineer-interview technical-interview-questions

Last synced: 30 Mar 2025

https://github.com/juzershakir/linear_regression

A Mathematical Intuition behind Linear Regression Algorithm

algorithm bias-variance cost-function feature-scaling gradient-descent house-price-prediction hypothesis linear-algebra linear-equations linear-regression machine-learning matrices mean-normalization mean-square-error mse multivariate-regression partial-derivative regularized-linear-regression univariate-regressions vector

Last synced: 14 Mar 2025

https://github.com/nishi1612/machine-learning

This repository consists of Lab Assignments for course Machine Learning.

colab-notebook colaboratory cost-function gradient-descent gradient-descent-implementation machine-learning machine-learning-algorithms optimization-algorithms python steepest-descent stochastic-gradient-descent

Last synced: 12 Apr 2025

https://github.com/unstablev/machine-learning-housing-price

cost-function linear-regression machine-learning octave

Last synced: 14 Mar 2025

https://github.com/eonu/minimizers

Comparison of gradient-based coordinate descent and gradient descent on continuous bivariate functions.

coordinate-descent cost-function gradient-descent iterative-methods machine-learning minimization optimization optimization-methods peaks six-hump-camel

Last synced: 03 Apr 2025

https://github.com/kunalpisolkar24/gradientdescent

A Python implementation of gradient descent for linear regression, visualized with cost function history, parameter trajectory, and a 3D cost surface.

cost-function gradient-descent numpy visualization

Last synced: 28 Mar 2025

https://github.com/juzershakir/logistic_regression

A Mathematical Intuition behind Logistic Regression Algorithm

algorithm bias-variance cost-function gradient-descent hypothesis logarithmic-regression logarithms logistic-function logistic-regression machine-learning multiclass-classification overfitting probability regularized-logistic-regression sigmoid-function

Last synced: 14 Mar 2025

https://github.com/maheera421/supervised-machine-learning

Implementation of necessary supervised machine learning algorithms for regression and classification.

classification classification-models cost-function feature-engineering feature-scaling gradient-descent linear-function linear-regression logistic-loss logistic-regression machine-learning matplotlib numpy regression-models regularization-to-avoid-overfitting scikit-learn sigmoid-function squared-error-cost-function vectorization

Last synced: 14 Mar 2025

https://github.com/erisilver/stanford-machinelearning-ex2

With OCTAVE - details in ex2.pdf in the repo.

cost-function gradient-descent logistic-regression octave regularization

Last synced: 16 Feb 2025

https://github.com/pedroteixeiraw/variational_quantum_circuit_binary_classification

This project focuses on developing a Variational Quantum Circuit capable of performing Binary Classification between two classes: red wine and white wine, based on their characteristics using machine learning.

binary-classification cost-function json machine-learning matplotlib numpy pandas qiskit qiskit-machine-learning quantum-machine-learning scikit-learn training-data variational-circuit

Last synced: 26 Mar 2025

https://github.com/pvigier/preprocessings

Demo for the part 2 of the tutorial on pychain

cost-function gradient-descent preprocessing visualization

Last synced: 23 Feb 2025

https://github.com/erisilver/stanford-machinelearning-ex4-handwrittendigitrecognition-mincostfx

Handwritten Digit Recognition - Neural Network - minimizing the cost function (Backpropagation) ---- OCTAVE ----- the exercise details are in ex4.pdf in the repo.

backpropagation cost-function feedforward-neural-network octave regularization

Last synced: 16 Feb 2025

https://github.com/bonelesswater/neural_network

Custom neural network implementation from scratch

ai cost-function generational neural-network python

Last synced: 25 Feb 2025