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#

batch-gradient-descent

Here are 45 public repositories matching this topic...

Neural-Network-from-scratch

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

  • UpdatedDec 24, 2018
  • Jupyter Notebook
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, F…

  • UpdatedDec 16, 2022
  • Jupyter Notebook

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

  • UpdatedOct 14, 2019
  • Jupyter Notebook
Gradient-Descent

Gradient Descent(From Scratch & With TensorFlow)

  • UpdatedMar 31, 2023
  • Jupyter Notebook

Advanced Twitter sentiment analysis pipeline using Apache Spark for distributed data processing, featuring TF-IDF–based feature engineering and stochastic gradient-descent classification for scalable, real-time sentiment insights.

  • UpdatedMay 7, 2025
  • Jupyter Notebook

The laboratory from CLOUDS Course at EURECOM

  • UpdatedFeb 25, 2019
  • HTML

线性回归算法,close-form, batch 梯度下降,mini-batch 梯度下降,随机梯度下降,RMSE

  • UpdatedJan 26, 2021
  • Python

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

  • UpdatedSep 7, 2024
  • Jupyter Notebook

Naive Bayes classifier and Logistic Regression classifier to predict whether a transaction is fraudulent or not

  • UpdatedDec 9, 2017
  • Java

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

  • UpdatedMay 8, 2022
  • Jupyter Notebook

Softmax Regression from scratch. MNIST dataset

  • UpdatedDec 28, 2021
  • Jupyter Notebook

Implementation of linear regression with L2 regularization (ridge regression) using numpy.

  • UpdatedOct 28, 2019
  • Python

Following and implementing (some of) the machine learning algorithms from scratch based on the Stanford CS229 course.

  • UpdatedJan 15, 2024
  • Python

PyTorch Implementation of Optimizers for Deep Learning from scratch.

  • UpdatedJul 22, 2025
  • Python

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