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Organization Overview ⭐ 310

👇 Overview of all the resources of BRIIM: JavaScript in Machine Learning

Deep Learning From Scratch ⭐ 250

Six snippets of code that made deep learning what it is today.

Ml Course ⭐ 168

Starter code of Prof. Andrew Ng's machine learning MOOC in R statistical language

Machine_learning_2018 ⭐ 146

Codes and Project for Machine Learning Course, Fall 2018, University of Tabriz

Coursera Machine Learning Specialization ⭐ 120

2022 Coursera Machine Learning Specialization Optional Labs and Programming Assignments

Flatiron School Data Science Curriculum Resources ⭐ 75

Lesson material on data science and machine learning topics/concepts

Linear Regression Gradient Descent ⭐ 66

⭐️ Linear Regression with Gradient Descent in JavaScript (Unvectorized, Visualized)

Machine Learning Matlab ⭐ 46

Matlab implementation of Machine Learning algorithms

Machine_learning_course ⭐ 44

Artificial intelligence/machine learning course at UCF in Spring 2020 (Fall 2019 and Spring 2019)

Simple Linear Regression Notebook ⭐ 35

Simple demo of linear regression built with numpy in a jupyter notebook.

Linear Regression ⭐ 33

Linear regression implemented in Ruby.

Gdlibrary ⭐ 27

Matlab library for gradient descent algorithms: Version 1.0.1

Sgd From Scratch ⭐ 25

Stochastic gradient descent from scratch for linear regression

Machine Learning Regression ⭐ 25

Built house price prediction model using linear regression and k nearest neighbors and used machine learning techniques like ridge, lasso, and gradient descent for optimization in Python

Ml Notebook ⭐ 19

Karma of Humans is AI

Models By Example ⭐ 19

By-hand code for models and algorithms. An update to the 'Miscellaneous-R-Code' repo.

Coursera Deeplearning.ai Stanford University Machine Learning Specialization ⭐ 18

This Repository contains Solutions to the Quizes & Lab Assignments of the Machine Learning Specialization (2022) from Deeplearning.AI on Coursera taught by Andrew Ng, Eddy Shyu, Aarti Bagul, Geoff Ladwig.

Machine Learning Framework

Ml_from_scratch ⭐ 16

Implementation of basic ML algorithms from scratch in python...

FAST Change Point Detection in R

Interactive Simple Linear Regression ⭐ 14

A PureScript, browser-based implementation of simple linear regression.

Machinelearning ⭐ 13

From linear regression towards neural networks...

Multivariate Linear Regression Gradient Descent Javascript ⭐ 13

⭐️ Multivariate Linear Regression with Gradient Descent in JavaScript (Vectorized)

Easy to use high level python library for popular machine learning algorithms. Has in-built support for graphing and optimizers based in C++.

Fun Python ⭐ 11

Some scripts i had fun creating, to learn the basics of python

Linear Regression ⭐ 10

Get a feel for how the Linear Regression algorithm works

Optimization_ml ⭐ 10

Optimization in ML

Univariate Linear Regression Gradient Descent Javascript ⭐ 9

⭐️ Univariate Linear Regression with Gradient Descent in JavaScript (Vectorized)

A Java Library for Statistics, Data Analysis and Visualization.

D3 Gradient Descent ⭐ 8

D3.js | Visualization of the gradient descent algorithm for linear regression

A collection of algorithms done in JavaScript with visual demos

Graddescent ⭐ 8

MATLAB implementation of Gradient Descent algorithm for Multivariate Linear Regression

Linear_regression ⭐ 8

linear regression algorithm developed in MATLAB

Machine_learning ⭐ 7

Machine Learning - Coursera.org

Python machine learning library using powerful numerical optimization methods.

Linear Regression Python ⭐ 6

A Z Machine Learning ⭐ 5

This repository contains the code related to machine learning knowledge. Each code has been provided from start to end with systematical vew of each concept that you will need in your journey of learning ML.

Coursera Machine Learning And Practice ⭐ 5

A study recording of Coursera's Machine Learning by Andrew Ng, but added some practices for reinforceing learning.

Mathematics For Machine Learning And Data Science Specialization ⭐ 5

Master the Toolkit of AI and Machine Learning. Mathematics for Machine Learning and Data Science is a beginner-friendly Specialization where you’ll learn the fundamental mathematics toolkit of machine learning: calculus, linear algebra, statistics, and probability.

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