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Topic: "cost-function"

lyprince/sdtw_pytorch

Implementation of soft dynamic time warping in pytorch

Language: Python - Size: 5.86 KB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 97 - Forks: 10

nathanrooy/landscapes

A dependency free library of standardized optimization test functions written in pure Python.

Language: Python - Size: 1.81 MB - Last synced at: about 8 hours ago - Pushed at: over 1 year ago - Stars: 61 - Forks: 13

Marksman007577/Autonomous-Drive

Autonomous Vehicle modelling using MATLAB and Simulink

Language: MATLAB - Size: 4.69 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 40 - Forks: 14

alpsayin/genetic-algorithm-matlab

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

Language: MATLAB - Size: 43 KB - Last synced at: about 2 months ago - Pushed at: over 3 years ago - Stars: 37 - Forks: 11

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.

Size: 26.4 KB - Last synced at: 20 days ago - Pushed at: 20 days ago - Stars: 10 - Forks: 1

SeyedMuhammadHosseinMousavi/Economic-Dispatching-by-Bees-Algorithm

Economic Dispatching by Bees Algorithm

Language: MATLAB - Size: 6.84 KB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 10 - Forks: 3

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.

Language: Python - Size: 12.7 KB - Last synced at: 2 months ago - Pushed at: almost 2 years ago - Stars: 8 - Forks: 3

mohadeseh-ghafoori/Coursera-Machine-Learning-Specialization

Language: Jupyter Notebook - Size: 45.1 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 7 - Forks: 6

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.

Language: C++ - Size: 21 MB - Last synced at: almost 2 years ago - Pushed at: about 5 years ago - Stars: 4 - Forks: 0

rafaelvareto/open-loss

OpenLoss: This repository discloses cost functions designed for open-set classification tasks, namely, Entropic Open-set, ObjectoSphere and Maximal-Entropy Loss.

Language: Jupyter Notebook - Size: 2.72 MB - Last synced at: 2 days ago - Pushed at: over 1 year ago - Stars: 3 - Forks: 1

JuzerShakir/Linear_Regression

A Mathematical Intuition behind Linear Regression Algorithm

Size: 296 KB - Last synced at: 3 months ago - Pushed at: over 3 years ago - Stars: 3 - Forks: 0

mhbashari/ml-minicourse

Presentations And Source Codes of My Machine Learning Mini Course

Language: Jupyter Notebook - Size: 6.05 MB - Last synced at: almost 2 years ago - Pushed at: over 4 years ago - Stars: 3 - Forks: 1

kk289/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.

Language: MATLAB - Size: 12.2 MB - Last synced at: over 1 year ago - Pushed at: almost 5 years ago - Stars: 3 - Forks: 1

Azeemaj101/Deep-Learning-Math-Concepts

Language: Jupyter Notebook - Size: 286 MB - Last synced at: over 2 years ago - Pushed at: almost 3 years ago - Stars: 2 - Forks: 0

ChristinaAndrinopoyloy/Clustering_on_Hyperspectral_Image

Project for "Clustering" Master course of Data Science and Information Technologies (DSIT)

Language: MATLAB - Size: 13.1 MB - Last synced at: over 2 years ago - Pushed at: over 3 years ago - Stars: 2 - Forks: 0

yigitsener/machine-learning

Machine Learning

Language: Python - Size: 362 KB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 2 - Forks: 6

kk289/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.

Language: MATLAB - Size: 2.32 MB - Last synced at: over 1 year ago - Pushed at: almost 5 years ago - Stars: 2 - Forks: 0

trajkd/Highway-Driving

Highway Driving (project 7 of 9 from Udacity Self-Driving Car Engineer Nanodegree)

Language: C++ - Size: 2.87 MB - Last synced at: over 2 years ago - Pushed at: about 5 years ago - Stars: 2 - Forks: 1

nishi1612/Machine-Learning

This repository consists of Lab Assignments for course Machine Learning.

Language: Jupyter Notebook - Size: 3.53 MB - Last synced at: about 2 months ago - Pushed at: over 5 years ago - Stars: 2 - Forks: 0

overtane/udacity-carnd-p11

Highway Path Planner

Language: C++ - Size: 3.78 MB - Last synced at: about 1 year ago - Pushed at: over 7 years ago - Stars: 2 - Forks: 6

Zer0-Bug/ML_GradientDescent-.-FindThetaValues

Implementation is to use gradient descent to find the optimal values of θ that minimize the cost function.

Language: Python - Size: 1.17 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0

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.

Language: Jupyter Notebook - Size: 28.3 KB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 1 - Forks: 0

kiku-jw/calfur

🧮 Calculate Cost Furniture, Windows and Doors

Language: TypeScript - Size: 322 KB - Last synced at: 11 days ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

SAI-SRINIVASA-SUBRAMANYAM/machine_practices_problems

Language: Jupyter Notebook - Size: 37.1 KB - Last synced at: 8 months ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 1

pjmateus/monte-carlo-annealing

Monte-Carlo search for the minimum of the multidimensional "cost" function

Language: Python - Size: 74.2 KB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 1

bconsolvo/ml-course-andrew-ng

Machine learning code: linear regression and logistic regression

Language: MATLAB - Size: 704 KB - Last synced at: almost 2 years ago - Pushed at: almost 3 years ago - Stars: 1 - Forks: 0

purvilmehta06/Machin-Learning

This repository contains the lab work of the course Machine Learning (IE 406).

Language: Jupyter Notebook - Size: 8.64 MB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 1 - Forks: 0

Rohit-Kundu/Cell-Tracker

Official Implementation of our paper on Cell Tracker Algorithm for NPC Cell maturation profile understanding.

Language: MATLAB - Size: 213 KB - Last synced at: over 2 years ago - Pushed at: almost 4 years ago - Stars: 1 - Forks: 0

SabirKhanAkash/Machine-Learning-by-Andrew-Ng

All my codes from 'Machine Learning' course by Andrew Ng offered by Coursera

Language: MATLAB - Size: 85.2 MB - Last synced at: over 2 years ago - Pushed at: almost 4 years ago - Stars: 1 - Forks: 0

andreabasiliorava/QAOA_MaxCut_1_level_classical_optimization

Repository for the Software and Computing for Applied Physics Project

Language: Python - Size: 511 KB - Last synced at: almost 2 years ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 0

crosstherubicon/Backprop_Hyper-parameters

Understanding hyperparameters of neural network architectures using 3 cost functions, 3 activation functions, 2 regularizations and dropout.

Language: Jupyter Notebook - Size: 1.63 MB - Last synced at: almost 2 years ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 1

TobiAdeniyi/dence-neural-net-library

Creating a Neural Network Library from scratch utilising my Mathematics background along with content covered in Andrew Ng's Deep Learning course

Language: Jupyter Notebook - Size: 6.17 MB - Last synced at: 6 months ago - Pushed at: almost 5 years ago - Stars: 1 - Forks: 0

muhendis/yapaysiniraglari

Size: 1000 Bytes - Last synced at: over 1 year ago - Pushed at: about 6 years ago - Stars: 1 - Forks: 0

chiapeilin/Neural-Network

The code of forward propagation , cost function , backpropagation and visualize the hidden layer.

Language: Jupyter Notebook - Size: 919 KB - Last synced at: over 1 year ago - Pushed at: almost 7 years ago - Stars: 1 - Forks: 0

unstableV/machine-learning-housing-price

Size: 1.95 KB - Last synced at: 3 months ago - Pushed at: over 7 years ago - Stars: 1 - Forks: 0

mynkpl1998/Machine-Learning-Sebastian-Notes

Chapter Wise Notes and codes of Book "Python Machine Learning by Sebestian Raschka".

Language: Jupyter Notebook - Size: 2.58 MB - Last synced at: over 2 years ago - Pushed at: over 7 years ago - Stars: 1 - Forks: 1

IshantVeerbhan/Andrew-Ng-ML-Coursera

Andrew Ng Machine Learning Course Coursera

Language: Matlab - Size: 8.9 MB - Last synced at: almost 2 years ago - Pushed at: almost 8 years ago - Stars: 1 - Forks: 1

qazimsajjad/Machine-Learning-Course

This repository provides a comprehensive machine learning course with theoretical concepts and practical implementations

Language: Jupyter Notebook - Size: 44.6 MB - Last synced at: 10 days ago - Pushed at: 10 days ago - Stars: 0 - Forks: 1

sethubolt7/ML_SUPERVISED_LEARNING_PROJECTS

Mathematical implementation of supervised learning and gradient descent from scratch using Python and NumPy.

Language: Jupyter Notebook - Size: 300 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

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.

Language: Jupyter Notebook - Size: 1.21 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

kunalPisolkar24/gradientDescent

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

Language: Jupyter Notebook - Size: 239 KB - Last synced at: 2 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

rafaelvareto/segmentation-loss

SegLoss: This repository discloses cost functions designed for the semantic segmentation tasks, namely, Active Boundary Loss, Boundary Loss and Distance Trasform Loss.

Language: Python - Size: 45.9 KB - Last synced at: about 1 month ago - Pushed at: 7 months ago - Stars: 0 - Forks: 0

maheera421/Supervised-Machine-Learning

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

Language: Jupyter Notebook - Size: 6.85 MB - Last synced at: 3 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

MahraibFatima/MachineLearning

This repository offers a collection of basic hands-on machine learning concepts.

Size: 6.5 MB - Last synced at: about 1 month ago - Pushed at: 11 months ago - Stars: 0 - Forks: 0

BonelessWater/Neural_Network

Custom neural network implementation from scratch

Language: Python - Size: 7.81 KB - Last synced at: 3 months ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

pgrondein/scoring_model_financial_company

Scoring model for financial company - all files

Language: Python - Size: 156 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 2

rambodazimi/Logistic-Regression

Language: Python - Size: 11.7 KB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

mixed-farming/Univariate-Linear-Regression

Implementing the gradient descent algorithm from scratch to perform univariate linear regression.

Language: Jupyter Notebook - Size: 333 KB - Last synced at: over 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 1

RajatDodwadkar/House_price_prediction_using_multivariate_linear_regression

Python code from scratch for predicting house prices using Multiple linear regression. Analyzing how cost function decreases with number of epochs. No inbuilt functions are used to implement the regression.

Language: Jupyter Notebook - Size: 700 KB - Last synced at: over 1 year ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 1

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.

Language: MATLAB - Size: 7.42 MB - Last synced at: about 1 month ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

EriSilver/Stanford-machineLearning-EX2

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

Language: MATLAB - Size: 254 KB - Last synced at: about 1 month ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

JuzerShakir/Logistic_Regression

A Mathematical Intuition behind Logistic Regression Algorithm

Size: 229 KB - Last synced at: 3 months ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

crosstherubicon/Implementation_of_Neural_Network

Implementing Neural Network on Irish data - evaluating accuracy, Mean Squared Error (MSE), Crossentropy and log-likelihood

Language: Python - Size: 2.12 MB - Last synced at: almost 2 years ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 0

cheretka/PacMan_Projects

Implement DFS, BFS, UCS, and A* algorithms && minimax and expectimax algorithms, as well as designing evaluation functions

Language: Python - Size: 289 KB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 0

mehboobali98/Univariate-Linear-Regression

Linear Regression is implemented to identify the relationship between the profit of a bakery and the population of different cities. The main objective is to find the next city in which a new outlet should be opened.

Language: Jupyter Notebook - Size: 313 KB - Last synced at: almost 2 years ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 0

baro77/quadratic_influence

Support repository for article "Quadratic Payments with constrained probabilities"

Language: TeX - Size: 76.8 MB - Last synced at: over 2 years ago - Pushed at: about 4 years ago - Stars: 0 - Forks: 0

dmancilla85/octave-ml-stanford-ng

Exercises submitted in the course Machine Learning by Andrew NG - Stanford University.

Language: MATLAB - Size: 10.4 MB - Last synced at: over 2 years ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0

keshav-narasimhan/Stanford-Machine-Learning

Language: MATLAB - Size: 20.9 MB - Last synced at: about 2 years ago - Pushed at: almost 5 years ago - Stars: 0 - Forks: 0

kk289/ML-Linear_Regression-MATLAB

Machine Learning Using MATLAB

Language: MATLAB - Size: 9.68 MB - Last synced at: over 1 year ago - Pushed at: almost 5 years ago - Stars: 0 - Forks: 0

laurauzcategui/machine-learning-coursera

Machine Learning from Coursera: https://www.coursera.org/learn/machine-learning/home/welcome

Language: MATLAB - Size: 21 MB - Last synced at: over 2 years ago - Pushed at: over 5 years ago - Stars: 0 - Forks: 0

zoom2manoj/linear_regression

Language: Jupyter Notebook - Size: 38.1 KB - Last synced at: over 1 year ago - Pushed at: over 6 years ago - Stars: 0 - Forks: 0

kobol11/InvoiceTotal

This solution calculates the total cost after applying appropriate discount.

Language: C# - Size: 14.6 KB - Last synced at: almost 2 years ago - Pushed at: over 6 years ago - Stars: 0 - Forks: 1

pvigier/preprocessings

Demo for the part 2 of the tutorial on pychain

Language: Python - Size: 2.93 KB - Last synced at: 4 months ago - Pushed at: about 7 years ago - Stars: 0 - Forks: 0

Related Topics
machine-learning 23 gradient-descent 22 linear-regression 19 logistic-regression 14 python 11 regularization 7 classification 7 matlab 7 deep-learning 6 supervised-learning 6 optimization 6 numpy 6 octave 6 neural-network 5 matplotlib 4 regression 4 machine-learning-algorithms 4 decision-boundary 3 cost-optimization 3 neural-networks 3 behavior-planning 3 bias-variance 3 cost-estimation 3 feature-scaling 3 mse 3 stochastic-gradient-descent 3 activation-functions 3 sigmoid-function 3 self-driving-car 2 regression-models 2 algorithm 2 hypothesis 2 c-plus-plus 2 ai 2 path-planning 2 a-star 2 data-science 2 face-recognition 2 irish-data 2 multiclass-classification 2 logarithmic-regression 2 unsupervised-learning 2 feature-engineering 2 visualization 2 data-visualization 2 univariate-linear-regression 2 jupyter-notebook 2 loss-functions 2 mean-normalization 2 binary-classification 2 regularized-linear-regression 2 pandas 2 regularization-to-avoid-overfitting 2 preprocessing 2 polynomial-regression 2 scikit-learn 2 learning-curve 2 vector 2 backpropagation 2 vectorization 2 gradient-descent-implementation 2 prediction 2 sklearn 2 feedforward-neural-network 2 multiple-linear-regression 2 loss-function 2 interview-preparation 1 interview-practice 1 data-scientist-interview 1 machine-learning-and-data-science 1 machine-learning-interview 1 machine-learning-interview-questions 1 software-engineer-interview 1 technical-interview-questions 1 bees 1 bees-algorithm 1 economic-dispatch 1 economic-dispatch-problem 1 economic-dispatching 1 metaheuristic 1 python-implementation 1 imbalanced-data 1 heroku 1 flask 1 classweight 1 classifier-model 1 auc 1 api 1 convergence 1 time-series 1 soft-dtw 1 pytorch-implementation 1 pytorch 1 dynamic-time-warping 1 deep-neural-networks 1 tutorial 1 seaborn 1 python3 1 data-science-interview-questions 1 data-science-interview 1