Autonomous Vehicle modelling using MATLAB and Simulink

communication-protocol matlab radar mpc mpc-hc autonomous-driving waypoints v2v adaptive-cruise-control simulink-model cost-function mpc-control cruise-control vehicle-dynamics purepursuit cacc stanley-controller lane-centering-assist

• Updated Apr 15, 2026
• MATLAB

Implementation of soft dynamic time warping in pytorch

deep-neural-networks deep-learning time-series pytorch dynamic-time-warping cost-function soft-dtw pytorch-implementation

• Updated Sep 23, 2021
• Python

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

python optimization constrained-optimization tsp multi-objective cost-function traveling-salesman-problem test-functions single-objective loss-function

• Updated Nov 6, 2026
• Python

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

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

• Updated Jan 11, 2022
• MATLAB

numpy linear-regression sklearn logistic-regression matplotlib regularization gradient-descent feature-engineering polynomial-regression decision-boundary learning-curve feature-scaling contour-plot cost-function feature-mapping mean-normalization regularization-to-avoid-overfitting standard-normal

• Updated Jun 4, 2024
• Jupyter Notebook

🟣 Cost Function interview questions and answers to help you prepare for your next machine learning and data science interview in 2026.

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

• Updated Jan 4, 2026

Economic Dispatching by Bees Algorithm

optimization bees metaheuristic cost-function bees-algorithm economic-dispatch economic-dispatch-problem economic-dispatching

• Updated Dec 20, 2024
• MATLAB

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.

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

• Updated Aug 24, 2023
• Python

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

machine-learning linear-regression regression neural-networks classification logistic-regression gradient-descent python-implementation machine-learning-python cost-function

• Updated Dec 6, 2025
• Jupyter Notebook

building a deep neural network with as many layers as you want!

cost-function sigmoid-function relu deep-neural-network backward-propagation forward-propagation

• Updated Sep 19, 2022
• Jupyter Notebook

A from-scratch Linear Regression model optimized via Gradient Descent for house price prediction.

visualization python data-science machine-learning optimization linear-regression supervised-learning gradient-descent data-preprocessing feature-engineering predictive-modeling model-evaluation regression-analysis cost-function house-prices

• Updated Jan 31, 2026
• Python

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.

random linear-regression cross-validation gradient polynomial-regression learning-curve regularized-linear-regression bias-variance cost-function regularization-methods

• Updated Jun 21, 2020
• 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.

neural-network matlab classification feedforward-neural-network regularization vectorization gradients cost-function logistic-regression-classifier

• Updated Jun 23, 2020
• MATLAB

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

python data-science machine-learning optimization supervised-learning logistic-regression regularization gradient-descent predictive-modeling theta machine-learning-theory statistical-modeling cost-function mathematical-modeling

• Updated Jan 31, 2026
• Python

Implement a safe autonomous navigation in a simulated 3D environment full of cars. Apply concepts like prediction, finite state machines, behavior planning, and more.

c-plus-plus path-planning self-driving-car cost-function behavior-planning

• Updated Jun 5, 2020
• C++

Presentations And Source Codes of My Machine Learning Mini Course

learning reinforcement-learning deep-learning linear-regression supervised-learning representation gradient-descent unsupervised-learning learning-agents autonomy generalization shallow-learning cost-function calculation-graph

• Updated Sep 29, 2020
• Jupyter Notebook

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

monte-carlo minimum monte-carlo-simulation multidimensional multidimensional-analysis cost-optimization cost-function annealing

• Updated Sep 28, 2022
• Python

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

clustering matlab pca hierarchical-clustering cost-function bsas hyperspectral-images salinas-valley

• Updated Nov 5, 2021
• MATLAB

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

face-recognition negative-samples cost-function watchlists open-set-classification open-set-learning open-loss

• Updated Jan 16, 2024
• Jupyter Notebook

A Mathematical Intuition behind Linear Regression Algorithm

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

• Updated Nov 4, 2021