Ever wondered how to code your Neural Network using NumPy, with no frameworks involved?
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Dec 24, 2018 - Jupyter Notebook
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batch-gradient-descent
Here are 42 public repositories matching this topic...
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…
naive-bayes expectation-maximization support-vector-machine ridge-regression expectation-maximization-algorithm factor-analysis dbscan em-algorithm linear-discriminant-analysis stochastic-gradient-descent latent-semantic-analysis lasso-regression multinomial-naive-bayes singular-value-decomposition batch-gradient-descent sequential-minimal-optimization newton-method low-rank-approximation independent-component-analysis k-nearest-neighbors
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Dec 16, 2022 - Jupyter Notebook
Machine learning algorithms in Dart programming language
dart classifier data-science machine-learning algorithm linear-regression machine-learning-algorithms regression hyperparameters sgd logistic-regression softmax-regression dartlang stochastic-gradient-descent softmax lasso-regression batch-gradient-descent mini-batch-gradient-descent softmax-classifier softmax-algorithm
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Apr 27, 2025 - Dart
Implementation of a series of Neural Network architectures in TensorFow 2.0
python classifier data-science machine-learning deep-learning neural-network tensorflow lstm rnn autoencoder dimensionality-reduction tensorflow-tutorials python-3 convolutional-neural-networks rnn-tensorflow forecast-model batch-gradient-descent cnn-classifier autograph tensorflow2
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Apr 18, 2021 - Jupyter Notebook
[Python] [arXiv/cs] Paper "An Overview of Gradient Descent Optimization Algorithms" by Sebastian Ruder
adadelta momentum gradient-descent optimization-methods optimization-algorithms adam adagrad rmsprop gradient-descent-algorithm stochastic-optimizers stochastic-gradient-descent gradient-boosting adam-optimizer adamax stochastic-optimization batch-gradient-descent nesterov-accelerated-sgd amsgrad nesterov-momentum nadam
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Mar 23, 2019 - Python
My implementation of Batch, Stochastic & Mini-Batch Gradient Descent Algorithm using Python
gradient-descent gradient-descent-algorithm stochastic-gradient-descent batch-gradient-descent mini-batch-gradient-descent gradient-descent-methods
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Oct 14, 2019 - Jupyter Notebook
Gradient Descent(From Scratch & With TensorFlow)
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Mar 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.
python machine-learning apache-spark sentiment-analysis numpy pandas seaborn pyspark matplotlib kmeans-clustering batch-gradient-descent knearest-neighbor-classification nltk-python textblob-sentiment-analysis schotastic-gradient-descent
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May 7, 2025 - Jupyter Notebook
All about machine learning
documentation machine-learning tutorial numpy linear-regression scikit-learn regression logistic-regression matplotlib gradient-descent ridge-regression polynomial-regression explanation learning-rate stochastic-gradient-descent lasso-regression batch-gradient-descent mini-batch-gradient-descent learning-curves regularization-methods
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Oct 4, 2020 - Jupyter Notebook
Compilation of different ML algorithms implemented from scratch (and optimized extensively) for the courses COL774: Machine Learning (Spring 2020) & COL772: Natural Language Processing (Fall 2020)
sentiment-analysis random-forest linear-regression scikit-learn machine-learning-algorithms naive-bayes-classifier neural-networks hyperparameter-optimization logistic-regression cvxopt decision-trees feature-engineering support-vector-machines stochastic-gradient-descent batch-gradient-descent post-pruning gaussian-discriminant-analysis yelp-review-analysis fmnist-dataset
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Jan 27, 2021 - Python
The laboratory from CLOUDS Course at EURECOM
python spark cloud-computing stochastic-gradient-descent batch-gradient-descent mini-batch-gradient-descent
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Feb 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
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Jan 26, 2021 - Python
A Machine Learning project to predict user interactions with social network ads using demographic data to optimize ad targeting
logistic-regression demographics stochastic-gradient-descent ad-targeting batch-gradient-descent mini-batch-gradient-descent
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Sep 7, 2024 - Jupyter Notebook
This repository includes implementation of the basic optimization algorithms (Batch-Mini-stochatic)Gradient descents and NAG,Adagrad,RMSProp and Adam)
optimization gradient-descent optimization-algorithms adagrad rmsprop stochastic-gradient-descent adam-optimizer batch-gradient-descent
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May 8, 2022 - Jupyter Notebook
Naive Bayes classifier and Logistic Regression classifier to predict whether a transaction is fraudulent or not
java naive-bayes-classifier logistic-regression hadoop-mapreduce gaussian-distribution batch-gradient-descent
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Dec 9, 2017 - Java
Numerical Optimization for Machine Learning & Data Science
python machine-learning numpy pandas matplotlib adagrad rmsprop stochastic-gradient-descent adam-optimizer batch-gradient-descent mini-batch-gradient-descent momentum-optimization-algorithm nag-optimizer
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Apr 29, 2022 - Jupyter Notebook
Implementation of linear regression with L2 regularization (ridge regression) using numpy.
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Oct 28, 2019 - Python
Following and implementing (some of) the machine learning algorithms from scratch based on the Stanford CS229 course.
deep-learning neural-network linear-regression linear-algebra python3 naive-bayes-classifier logistic-regression gradient-descent support-vector-machines from-scratch batch-gradient-descent
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Jan 15, 2024 - Python
Two mountaineers search for the global minimum of a cost function using different approaches. One represents Stochastic Gradient Descent, taking small, random steps, while the other follows Batch Gradient Descent, making precise moves after full evaluation. This analogy illustrates key optimization strategies in machine learning.
machine-learning noise stochastic-gradient-descent batch-gradient-descent mini-batch-gradient-descent
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Apr 12, 2025 - Jupyter Notebook
Softmax Regression from scratch. MNIST dataset
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Dec 28, 2021 - Jupyter Notebook
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