cost-function
There are 82 repositories under cost-function topic.
Marksman007577/Autonomous-Drive
Autonomous Vehicle modelling using MATLAB and Simulink
lyprince/sdtw_pytorch
Implementation of soft dynamic time warping in pytorch
nathanrooy/landscapes
A dependency free library of standardized optimization test functions written in pure Python.
alpsayin/genetic-algorithm-matlab
A very simple Genetic Algorithm implementation for matlab, easy to use, easy to modify runs fast.
SeyedMuhammadHosseinMousavi/Economic-Dispatching-by-Bees-Algorithm
Economic Dispatching by Bees Algorithm
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 2025.
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.
kevilkhadka/ML-Regularized_Linear_Regression-Bias_Variance-MATLAB
Here, we implement regularized linear regression to predict the amount of water flowing out of a dam using the change of water level in a reservoir. In the next half, we go through some diagnostics of debugging learning algorithms and examine the effects of bias v.s. variance.
Zahra-Bakhtiari/Building-Deep-Neural-Network-Step-by-Step-Instruction
building a deep neural network with as many layers as you want!
AndresGarciaEscalante/Path-Planning-Autonomous-Car
Implement a safe autonomous navigation in a simulated 3D environment full of cars. Apply concepts like prediction, finite state machines, behavior planning, and more.
kevilkhadka/ML-Multiclass_Classification_and_Neural_Network-MATLAB
Neural networks is a model inspired by how the brain works. It is widely used today in many applications: when your phone interprets and understand your voice commands, it is likely that a neural network is helping to understand your speech; when you cash a check, the machines that automatically read the digits also use neural networks.
mhbashari/ml-minicourse
Presentations And Source Codes of My Machine Learning Mini Course
ChristinaAndrinopoyloy/Clustering_on_Hyperspectral_Image
Project for "Clustering" Master course of Data Science and Information Technologies (DSIT)
JuzerShakir/Linear_Regression
A Mathematical Intuition behind Linear Regression Algorithm
qazimsajjad/Machine-Learning-Course
This repository provides a comprehensive machine learning course with theoretical concepts and practical implementations
rafaelvareto/open-loss
OpenLoss: This repository discloses cost functions designed for open-set classification tasks, namely, Entropic Open-set, ObjectoSphere and Maximal-Entropy Loss.
Zer0-Bug/ML_GradientDescent-.-FindThetaValues
Implementation is to use gradient descent to find the optimal values of θ that minimize the cost function.
Zer0-Bug/ML_LinearRegression-.-wGradientDescent
Improved a linear regression model with gradient descent.
nishi1612/Machine-Learning
This repository consists of Lab Assignments for course Machine Learning.
overtane/udacity-carnd-p11
Highway Path Planner
pjmateus/monte-carlo-annealing
Monte-Carlo search for the minimum of the multidimensional "cost" function
trajkd/Highway-Driving
Highway Driving (project 7 of 9 from Udacity Self-Driving Car Engineer Nanodegree)
yigitsener/machine-learning
Machine Learning
abdulrahimzulfiqar/Stock-Price-Prediction-Using-Scikit-Learn-Linear-Regression
This project predicts the next day's stock closing price using Lag Features + Linear Regression (with scikit-learn). Built with public financial data from Yahoo Finance and visualized with cost convergence and prediction analysis.
andreabasiliorava/QAOA_MaxCut_1_level_classical_optimization
Repository for the Software and Computing for Applied Physics Project
kevinshliu/Simulated-Annealing
The simulated annealing algorithm that minimizes a cost function, which indicates the degree of matching between the force field (FF) and density-functional theory (DFT).
mixed-farming/Univariate-Linear-Regression
Implementing the gradient descent algorithm from scratch to perform univariate linear regression to analyze the profit made by a bike sharing company.
rafaelvareto/maximal-entropy-loss
Maximal Entropy Loss
RajatDodwadkar/House_price_prediction_using_multivariate_linear_regression
This project demonstrates how to build a Multiple Linear Regression model in pure Python without using any ML libraries like scikit-learn. It includes: Complete implementation of linear regression from the ground up Manual computation of the cost function (MSE) and gradien
Rohit-Kundu/Cell-Tracker
Official Implementation of our paper on Cell Tracker Algorithm for NPC Cell maturation profile understanding.
SabirKhanAkash/Machine-Learning-by-Andrew-Ng
All my codes from 'Machine Learning' course by Andrew Ng offered by Coursera
SAhmadrezaAnaami/Simple-Linear-Regression
This Python repository contains an example of linear regression using a single independent variable to predict a continuous dependent variable. It includes code for importing and preprocessing the data, fitting the model, and evaluating its performance. The repo also includes plots of the fitted models and analysis of the results.
uai-ufmg/open-set-loss
OpenLoss: This repository discloses cost functions designed for open-set classification tasks, namely, Entropic Open-set, ObjectoSphere and Maximal-Entropy Loss.