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 45 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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Jul 7, 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
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
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
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
Softmax Regression from scratch. MNIST dataset
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Dec 28, 2021 - Jupyter Notebook
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 simple machine-learning-algorithms polynomial-regression gradient-descent-algorithm stochastic-gradient-descent classification-algorithm batch-gradient-descent mini-batch-gradient-descent regression-algorithms simple-linear-regression lasso-regression-model lasso-regularization ridge-regression-model multiple-linear-regression-model regularization-techniques regression-metrics classification-metrics ridge-regularization
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Jul 22, 2025 - Jupyter Notebook
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