Rudra-G-23/100-Days-of-ML

A complete and in-depth machine learning resource containing detailed notes, mathematical explanations, Python code, and Jupyter notebooks., and lectures.

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satyajitghana/PadhAI-Course

Repository containing the colab-notebooks of the course i did on deep learning from One-Fourth-Labs

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Jstacs/Jstacs

Language: Java - Size: 36.8 MB - Last synced at: 26 days ago - Pushed at: 26 days ago - Stars: 19 - Forks: 4

mehmoodulhaq570/Machine-Learning-Models

A repository consisting of machine learning models for predicting the future instance. More specifically this repository is a Machine Learning course for those who are interested in learning the basics of machine learning algorithms.

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soheilraeiss/Non-Linear-Programming

Research about Convex Functions and their Generalizations

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KMORaza/Antenna_Optimization_using_Gradient-Descent

Antennenoptimierung mittels Gradientenabstieg (Antenna Optimization using Gradient Descent)

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alexkalergis/Image-Recovery-using-Generative-Adversarial-Networks

• Machine Learning • In this project we aim to reconstruct handwritten digits using neural network models, specifically for the digit '8'.

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Haus226/OptViz

Language: Python - Size: 205 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

bhattbhavesh91/gradient-descent-variants

My implementation of Batch, Stochastic & Mini-Batch Gradient Descent Algorithm using Python

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alloverheada2/Gradient-Full

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kalthommusa/Udacity-Intro-to-Deep-Learning-Introduction-to-Neural-Network

Collection of my notes from Udacity's Intro to Deep Learning--> Introduction to Neural Networks course.

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singhsourav0/Machine-Learning-Algorithms

Explore a broad range of machine learning algorithms, including ML, RF, SVM, LR, NB, PCA, LogReg, DT, KMeans, SVMC, GD, HClust, DBSCAN, ICA, KNN, and more, within this repository. Gain practical insights and apply these diverse ML concepts effectively.

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turkmavisi/Linear-Classification-and-Regression-Algorithms

Perceptron Linear Classification Learning and Linear Regression Gradient Descent

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jElhamm/Overview-Gradient-Descent-Optimization-By-Sebastian-Ruder

"Simulations for the paper 'A Review Article On Gradient Descent Optimization Algorithms' by Sebastian Roeder"

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harshraj11584/Paper-Implementation-Overview-Gradient-Descent-Optimization-Sebastian-Ruder

[Python] [arXiv/cs] Paper "An Overview of Gradient Descent Optimization Algorithms" by Sebastian Ruder

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krish1925/CS-M146

Coursework on Introduction to Machine Learning - CS M146

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div5yesh/machine-learning

Implementation of machine learning algorithms and evaluations on MNIST dataset.

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SouroMLhub/ML_Projects

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nicolagheza/LogisticRegression

Logistic Regression using Tensorflow

Language: Python - Size: 349 KB - Last synced at: 12 months ago - Pushed at: over 7 years ago - Stars: 2 - Forks: 1

zhangerjun/ML-basic-algorithms

Basic Machine Learning algorithms from scratch (numpy)

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yash-gajjjar/Energy-Consumption-Time-Series-XGBoost-ML

Used XGBoost Gradient Boosting Decision Tree Supervised ML Algorithm

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AdamWonia/adaptive-model-predicitive-control-matlab

Adaptive Model Predicitive Control - Matlab

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Royal2/Robot-Traversal-II

Motion Planning and Navigation (Traversal using Gradient Descent Algorithm)

Language: MATLAB - Size: 1.79 MB - Last synced at: 10 months ago - Pushed at: almost 5 years ago - Stars: 3 - Forks: 1

fzehracetin/optimization-techniques

This repository will comprise primary optimization algorithms in Python language. Optimization is an extremely important part of machine learning.

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alphapats/Gradient-descent

Language: Python - Size: 12.7 KB - Last synced at: over 1 year ago - Pushed at: over 7 years ago - Stars: 1 - Forks: 1

kjmarshall/NNet

Neural Networks in C++17

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omerfarukeker/Gradient-Descent-Visualisation

Linear line fitting to data and optimising parameters with Gradient Descent algorithm

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kyriakos-2004/math_problems

This repository contains implementations for various mathematical problems.

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luke-davidson/ReinforcementLearning

Programming assignments completed for my Reinforcement Learning course: Topics include Bandit Algorithms, Dynamic Programming, policy iteration, Monte-Carlo methods, SARSA, Q-Learning, Dyna-Q/Dyna-Q+, gradient control methods, state aggregation methods, and Deep Q-Learning Networks (DQNs).

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tejaswidabas123/albalone-age-prediction

🐚 Abalone Age Prediction: Dive into Data, Surf on Insights! 📊 Unleash the power of predictive analytics on abalone age estimation! From meticulous data exploration to a showdown of optimization methods, this repo is your gateway to accurate age predictions using physical measurements using Pysaprk. 🌊🔮

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krpiyush5/Quora-Question-Pair-Similarity-Problem-

Identify which questions asked on Quora are duplicates of questions that have already been asked.This could be useful to instantly provide answers to questions that have already been answered,predict whether a pair of questions are duplicates or not

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dido1998/DeepJava

A deep learning library developed from scratch in Java.

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hiroyuki-kasai/SGDLibrary

MATLAB/Octave library for stochastic optimization algorithms: Version 1.0.20

Language: MATLAB - Size: 31.3 MB - Last synced at: over 1 year ago - Pushed at: about 2 years ago - Stars: 194 - Forks: 87

AnuraagRath/Linear-Regression-MachineLearning-from-Scratch

Using python we have created a Linear Regression Machine Learning Model from Scratch. We have implemented Gradient Descent to find the best 'm' (Slope) and 'b' (Intercept).

Language: Python - Size: 450 KB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0

jamesdhope/regression-models

A series of documented Jupyter notebooks implementing polynomial regression models and model performance analysis

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Madhu009/Deep-math-machine-learning.ai

A blog which talks about machine learning, deep learning algorithms and the Math. and Machine learning algorithms written from scratch.

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kk289/ML-Neural_Networks_Learning-MATLAB

The Neural Network is one of the most powerful learning algorithms (when a linear classifier doesn't work, this is what I usually turn to), and explaining the 'backpropagation' algorithm for training these models.

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bhattbhavesh91/gradient-descent-numpy-example

Gradient Descent Algorithm Implementation using NumPy

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corvasto/GradientDescentCSharp

Linear Gradient Descent using C#

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bhaveshgawri/learning-and-classification-algorithms

implementation of some classification algorithms in c and c++

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nrsharip/gradient-descent

An overview of gradient descent optimization algorithms

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opeajibuwa/Batch-gradient-algorithm

Batch gradient algorithm implementation for linear regression

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alexvek96/ML_basics_and_Gradient_Descent

1st/3 assignment of the "Machine Learning (ML) - Patterns Recognition" NKUA course (Spring Semester 2023). Basics of ML and implementation of the Gradient Descent algorithm.

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shehio/Computational-Biology

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nl-hugo/d3-gradient-descent

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

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msg4naresh/GradientDescent

Language: Jupyter Notebook - Size: 6.19 MB - Last synced at: almost 2 years ago - Pushed at: almost 7 years ago - Stars: 1 - Forks: 4

f-z/machine-learning-projects

Predicting wine quality using regression on the well-known UCI data set and more

Language: Python - Size: 26.7 MB - Last synced at: 18 days ago - Pushed at: over 3 years ago - Stars: 6 - Forks: 2

akhteramin/machine-learning

Linear Regression and Feature Engineering, Implementation of Gradient Descent, Sub-gradient Descent, Newton Method, Quasi-Newton Method, LBFGS, Determinig Confidence Interval from Bernouli, Uniform and Normal Distribution,Dimensionality Reduction and Classification.

Language: MATLAB - Size: 55.3 MB - Last synced at: over 1 year ago - Pushed at: about 4 years ago - Stars: 1 - Forks: 0

djm93dev/Ball-Obstacle-and-Target-Simulation

Ball, Obstacle, and Target Simulation

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vrn25/Machine-Learning-Coursera

Solutions to Coursera's Intro to Machine Learning course in python

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Samirnunes/ml_linear_regression_with_gradient_descent_university_admission

Regressão Linear: formulação matemática do algoritmo de Gradiente Descendente Estocástico e aplicação para prever a chance de admissão de estudantes em universidades com base em suas estatísticas acadêmicas.

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npcrites/byscratch

Implementing Numpy Matrix Operations Manually!

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Paulnkk/Nonlinear-Optimization-Algorithms

Implementation of nonlinear Optimization Algorithms in Python

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Arko98/Gradient-Descent-Algorithms

A collection of various gradient descent algorithms implemented in Python from scratch

Language: Python - Size: 1.02 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 19 - Forks: 12

githubharald/quasi_cauchy_optimizer

Implementation of the quasi Cauchy optimizer, an optimization method from the quasi Newton family. It uses a diagonal approximation of the Hessian and therefore has a small memory footprint.

Language: Python - Size: 159 KB - Last synced at: about 2 months ago - Pushed at: almost 4 years ago - Stars: 2 - Forks: 0

Swap-Nova/CyberAttack-Detection

Cyberattack Detection for network traffic using Neural networks. Implemented gradient descent-based method to generate adversarial samples against supervised learning models.

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jajokine/Statistics-Analysis

MITx - MicroMasters Program on Statistics and Data Science - Data Analysis: Statistical Modeling and Computation in Applications - First Project

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drbilo/linear_regression

Linear Regression w. Gradient Descent

Language: Python - Size: 17.6 KB - Last synced at: about 2 years ago - Pushed at: over 6 years ago - Stars: 2 - Forks: 1

prakhargurawa/Force-Directed-Graph-Layout

An interesting application of gradient descent aims to stabilize any input graph such that the forces applied on each node are minimum and the overall model is stable. Visualization is perform using NetworkX.

Language: Python - Size: 4.58 MB - Last synced at: about 2 years ago - Pushed at: over 4 years ago - Stars: 5 - Forks: 0

khritish17/GARGi-Network

A simple perceptron based artificial neural network using python and numpy package only.

Language: Python - Size: 38.1 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

hiroyuki-kasai/Subsampled-RTR

Subsampled Riemannian trust-region (RTR) algorithms

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nasreen-ahmed/optimization-algorithms

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RahulDas-dev/Machine-Learning_handson

Implementation ML algorithem in Numpy with derivation

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fazelelham32/DL-ML_in_Python-workshop

Deep Learning and Machine Learning in Python

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sabeelahmad/Gradient-Descent

Gradient Descent for N features using two datasets: Boston House data, Power Plant Data

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hiroyuki-kasai/OLSTEC

OnLine Low-rank Subspace tracking by TEnsor CP Decomposition in Matlab: Version 1.0.1

Language: MATLAB - Size: 46.5 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 30 - Forks: 12

limz1986/Titanic-Modelling-Dataset

This is a showcase of various models, using different methods to get the best result, XGBoost, SVM, Logistic Regression, Random Forest, Decision Trees, Gradient Boosting, Neural Networks

Language: Python - Size: 51.8 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

labrijisaad/Gradient-Descent-Algorithm-with-Python

in this project we'll Implement the basic functions of the Gradient-Descent algorithm to find the boundary in a small dataset.

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clarkzinzow/Machine-Learning-and-Signal-Processing-Algorithms

MATLAB implementations of a variety of machine learning/signal processing algorithms.

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sugatagh/Implementing-Logistic-Regression-from-Scratch

While it is convenient to use advanced libraries for day-to-day modeling, it does not give insight into the details of what really happens underneath, when we run the codes. In this work, we implement a logistic regression model manually from scratch, without using any advanced library, to understand how it works.

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bhushan23/Convex-Optimization

Implementation of Convex Optimization algorithms

Language: Python - Size: 26.2 MB - Last synced at: about 2 years ago - Pushed at: almost 7 years ago - Stars: 7 - Forks: 3

zeligism/PrecondUpdate

Official Implementation of "Stochastic Gradient Methods with Preconditioned Updates".

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tanvirtin/gradient-descent

A simple demonstration of gradient-descent algorithm in C++ on a linear funciton.

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Supertring/Gradient-Descent-Finds-Global-Minimum

Language: Jupyter Notebook - Size: 464 KB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

rupalshrivastava/Linear-and-Logistic-Regression-by-implementing-gradient-decent-algorithm

Segmentation GPU Kernel Performance Dataset. Data Set Characteristics: Multivariate Number of Instances: 241600 Area: Computer Attribute Characteristics: Integer Number of Attributes: 18 Date Donated 2018-02-27 Associated Tasks: Regression Missing Values: N/A Number of Web Hits: 23721

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FatemaSamir/Optimization-Algorithms

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MohammadAsadolahi/tensorflow-2.0-simple-linear-regression-whitout-keras

Simple linear regressor that tries to approximate a simple function deployed in Tensorflow 2.0 without Keras

Language: Jupyter Notebook - Size: 95.7 KB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 2 - Forks: 0

ahjimomo/gradient_descent_basic_from_scratch

Building gradient descent (Linear Regression) from scratch with python - compared against Scikit-Learn

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DiegoVallarino/Extreme-Gradient-Boosting

In this example I show how Extreme-Gradient-Boosting can be used in a Survival Analysis database. At the end the importance of the variables is shown.

Language: R - Size: 5.86 KB - Last synced at: about 2 years ago - Pushed at: about 3 years ago - Stars: 0 - Forks: 0

nnakul/language-modelling

Using language modelling to develop a text-completion application; studying interpolation of several n-gram models and opimisation of interpolation weights to minimise the perplexity of the model.

Language: Python - Size: 40 MB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 2 - Forks: 0

nofaralfasi/Machine-Learning-Divorce-Prediction

A Logistic model for predicting divorce rates among couples, implemented using the sklearn library.

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gokcesucu/Machine-Learning-Lab-1

Hello! All codes belong to me. I created those codes for my Machine Learning Lab Class. Enjoy it!

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irtiza7/ML-Tasks

Implemented machine learning algorithms.

Language: Python - Size: 7.41 MB - Last synced at: almost 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

nikitaa30/Facebook-Comment-Prediction-with-Linear-Regression

Predicting the number of comments on a post with Linear Regression, built from scratch.

Language: Jupyter Notebook - Size: 2.25 MB - Last synced at: about 2 years ago - Pushed at: almost 5 years ago - Stars: 3 - Forks: 2

ishan-gupt/Accident-Casuality-Prediction

Fundamentals of Data Analytics Mini Project

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rnels12/gradient-descent-based-logistic-regression

An implementation of a logistic regression algo

Language: Python - Size: 4.88 KB - Last synced at: about 2 years ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0

eskinderit/GradientDescent

An easy implementation of the GD implementation, comparison using different functions using fixed alpha or the alpha obtained through backtracking algo

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shubham1908/Understanding-Gradient-Descent-Algorithm-using-Numpy-and-Python

Understanding of the implementation of Gradient Descent algorithm and Performing univariate linear regression with Numpy and Python with visualization and plotting of data with the help of matplotlib and seaborn libraries

Language: Jupyter Notebook - Size: 168 KB - Last synced at: about 2 years ago - Pushed at: almost 5 years ago - Stars: 0 - Forks: 0

mirgayazov/Computational-mathematics

Laboratory work in the discipline "Computational Mathematics" [4 semester]

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SidJain1412/LoanDataEDA

:blue_book: Detailed Exploratory Data Analysis of Lending Club Loan Data

Language: Jupyter Notebook - Size: 794 KB - Last synced at: about 2 years ago - Pushed at: over 6 years ago - Stars: 6 - Forks: 1

akshayratnawat/GradientDescent_Algorithms

This file explores the working of various Gradient Descent Algorithms to reach a solution. Algorithms used are: Batch Gradient Descent, Mini Batch Gradient Descent, and Stochastic Gradient Descent

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jatin-47/Sine-Classifier

A simple neural network to classify points generated using a sine function. Implementing backpropagation.

Language: C++ - Size: 764 KB - Last synced at: almost 2 years ago - Pushed at: about 4 years ago - Stars: 0 - Forks: 0

raufbhat-dev/Deep-Neural-Net-Numpy

Implementation of a Deep Neural Net using Numpy and further training it on sklearn digit image data set .

Language: Python - Size: 293 KB - Last synced at: 2 months ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0

lokeshBI/Machine-Learning-By-Andrew-Ng

Stanford talks by Andrew Ng

Size: 39 MB - Last synced at: 3 months ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0

Zaroymi/linear-regression-gd

Linear Regression Gradient Descent Example

Language: Jupyter Notebook - Size: 4.86 MB - Last synced at: almost 2 years ago - Pushed at: over 4 years ago - Stars: 2 - Forks: 0

KRNK97/Regression-Model-GD-Implementation

This is my implementation of the Gradient Descent optimization algorithm in Python for the Regression Model .

Language: Python - Size: 4.88 KB - Last synced at: about 2 months ago - Pushed at: over 4 years ago - Stars: 0 - Forks: 0

byx2000/AutoDiff

Automatic derivative calculation of scalar functions.

Language: C# - Size: 90.8 KB - Last synced at: about 2 years ago - Pushed at: almost 5 years ago - Stars: 0 - Forks: 0

git-steb/structural-deformable-models

Multi-shape detection algorithm in C++ with OpenGL GUI

Language: C++ - Size: 35.3 MB - Last synced at: about 2 years ago - Pushed at: about 8 years ago - Stars: 1 - Forks: 0

bhargav-joshi/Gradient-Descent-in-Linear-Regression

Gradient Descent is the process of minimizing a function by following the gradients of the cost function. This involves knowing the form of the cost as well as the derivative so that from a given point you know the gradient and can move in that direction, e.g. downhill towards the minimum value.

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sahil210695/gradient-descent

A simplified explanation of gradient descent for linear regression in python using numpy

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