gradient-descent-algorithm

OptViz

Gradient-Descent-Finds-Global-Minimum

Machine-Learning-Coursera

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

DeepJava

A deep learning library developed from scratch in Java.

gradient-descent-numpy-example

Gradient Descent Algorithm Implementation using NumPy

Codes

Mini-project codes: Java, C++, Matlab, OpenMP, MPI, OpenCL, p_thread and Assembly Language.

LearningtoLearnUsingRL

This is a workspace for meta-learning methods using Reinforcement learning

100-days-of-manchine-learning

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

Activites-Pratiques-ML

PCA For Dimension Reduction And Visualization, Temperature-Yield Prediction Via Linear Regression, And Linear Fit Optimization Using Gradient Descent.

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).

ML-basic-algorithms

Basic Machine Learning algorithms from scratch (numpy)

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.

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.

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.

linear-regression-gd

Linear Regression Gradient Descent Example

Ingenieria-economica

Pagina web para calcular las valor presente, valor futuro, interés, tasa de interés, tiempo en temas de la Ingeniería Económica como lo son Interés Simple, Compuesto, Anualidades, Gradientes.

NNet

Neural Networks in C++17

linear_regression

Linear Regression w. Gradient Descent

LogisticRegression

Logistic Regression using Tensorflow

learning-and-classification-algorithms

implementation of some classification algorithms in c and c++

regression-models

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

Machine-Learning

Your all-in-one Machine Learning resource – from scratch implementations to ensemble learning and real-world model tuning. This repository is a complete collection of 25+ essential ML algorithms written in clean, beginner-friendly Jupyter Notebooks. Each algorithm is explained with intuitive theory, visualizations, and hands-on implementation.

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.

math_problems

This repository contains implementations for various mathematical problems.

CS-M146

Coursework on Introduction to Machine Learning - CS M146

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. 🌊🔮

CyberAttack-Detection

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

machine-learning

Contains various machine learning algorithms and their implementations.

Accident-Casuality-Prediction

Fundamentals of Data Analytics Mini Project

Deep-Neural-Network

Create a Deep Neural Network from Scratch using Python3.

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

momentum-in-ml

Momentum in Machine Learning

controllable-text-attribute-transfer

Tensorflow implementation of "Controllable Unsupervised Text Attribute Transfer via Editing Entangled Latent Representation" (NeurIPS 2019)

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.

gradient-descent

Implementation and visualization of Gradient descent Algorithm