Projects in Awesome Lists tagged with batch-gradient-descent

https://github.com/ahmedbesbes/Neural-Network-from-scratch

Ever wondered how to code your Neural Network using NumPy, with no frameworks involved?

backpropagation batch-gradient-descent decision-boundary loss neural-networks numpy python tutorial

Last synced: 27 Nov 2024

https://github.com/ahmedbesbes/neural-network-from-scratch

Ever wondered how to code your Neural Network using NumPy, with no frameworks involved?

backpropagation batch-gradient-descent decision-boundary loss neural-networks numpy python tutorial

Last synced: 24 Apr 2025

https://github.com/je-suis-tm/machine-learning

Python machine learning applications in image processing, recommender system, matrix completion, netflix problem and algorithm implementations including Co-clustering, Funk SVD, SVD++, Non-negative Matrix Factorization, Koren Neighborhood Model, Koren Integrated Model, Dawid-Skene, Platt-Burges, Expectation Maximization, Factor Analysis, ISTA, FISTA, ADMM, Gaussian Mixture Model, OPTICS, DBSCAN, Random Forest, Decision Tree, Support Vector Machine, Independent Component Analysis, Latent Semantic Indexing, Principal Component Analysis, Singular Value Decomposition, K Nearest Neighbors, K Means, Naïve Bayes Mixture Model, Gaussian Discriminant Analysis, Newton Method, Coordinate Descent, Gradient Descent, Elastic Net Regression, Ridge Regression, Lasso Regression, Least Squares, Logistic Regression, Linear Regression

batch-gradient-descent dbscan em-algorithm expectation-maximization expectation-maximization-algorithm factor-analysis independent-component-analysis k-nearest-neighbors lasso-regression latent-semantic-analysis linear-discriminant-analysis low-rank-approximation multinomial-naive-bayes naive-bayes newton-method ridge-regression sequential-minimal-optimization singular-value-decomposition stochastic-gradient-descent support-vector-machine

Last synced: 09 Apr 2025

https://github.com/gyrdym/ml_algo

Machine learning algorithms in Dart programming language

algorithm batch-gradient-descent classifier dart dartlang data-science hyperparameters lasso-regression linear-regression logistic-regression machine-learning machine-learning-algorithms mini-batch-gradient-descent regression sgd softmax softmax-algorithm softmax-classifier softmax-regression stochastic-gradient-descent

Last synced: 06 Apr 2025

https://github.com/ivanbongiorni/tensorflow2.0_notebooks

Implementation of a series of Neural Network architectures in TensorFow 2.0

autoencoder autograph batch-gradient-descent classifier cnn-classifier convolutional-neural-networks data-science deep-learning dimensionality-reduction forecast-model lstm machine-learning neural-network python python-3 rnn rnn-tensorflow tensorflow tensorflow-tutorials tensorflow2

Last synced: 07 May 2025

https://github.com/bhattbhavesh91/gradient-descent-variants

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

batch-gradient-descent gradient-descent gradient-descent-algorithm gradient-descent-methods mini-batch-gradient-descent stochastic-gradient-descent

Last synced: 17 Apr 2025

https://github.com/burhanahmed1/twitter-sentiment-analysis-using-pyspark

This repository contains a project that demonstrates how to perform sentiment analysis on Twitter data using Apache Spark, including data preprocessing, feature engineering, model training, and evaluation.

apache-spark batch-gradient-descent kmeans-clustering knearest-neighbor-classification machine-learning matplotlib nltk-python numpy pandas pyspark python schotastic-gradient-descent seaborn sentiment-analysis textblob-sentiment-analysis

Last synced: 14 Feb 2025

https://github.com/abdelrahman13-coder/optimization

This repository includes implementation of the basic optimization algorithms (Batch-Mini-stochatic)Gradient descents and NAG,Adagrad,RMSProp and Adam)

adagrad adam-optimizer batch-gradient-descent gradient-descent optimization optimization-algorithms rmsprop stochastic-gradient-descent

Last synced: 21 Feb 2025

https://github.com/deepramazumder/social-network-ads-prediction-analysis

A Machine Learning project to predict user interactions with social network ads using demographic data to optimize ad targeting

ad-targeting batch-gradient-descent demographics logistic-regression mini-batch-gradient-descent stochastic-gradient-descent

Last synced: 23 Feb 2025

https://github.com/khushi130404/gradient_realm

Gradient_Realm is a Python project exploring regression techniques and optimization methods like Regularization, Batch, Stochastic, and Mini-batch Gradient Descent. It uses scikit-learn and custom implementations for hands-on learning.

batch-gradient-descent mini-batch-gradient-descent numpy stochastic-gradient-descent

Last synced: 01 Mar 2025

https://github.com/chaitanyak77/sgd-v-s-bgd

Implementation and in-depth comparative analysis of two foundational machine learning optimization algorithms, Stochastic Gradient Descent (SGD) and Batch Gradient Descent (BGD).

batch-gradient-descent deep-learning sgd-optimizer

Last synced: 06 Mar 2025