Implementation of soft dynamic time warping in pytorch

Autonomous Vehicle modelling using MATLAB and Simulink

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

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

Economic Dispatching by Bees Algorithm

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.

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

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.

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.

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

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

Presentations And Source Codes of My Machine Learning Mini Course

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

A Mathematical Intuition behind Linear Regression Algorithm

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

Implementing the gradient descent algorithm from scratch to perform univariate linear regression to analyze the profit made by a bike sharing company.

Highway Path Planner

Machine Learning