Komil-parmarandChristian Clauss 7202e13f82 Add t-SNE implementation and tests for dimensionality reduction (#13337) ...

* Add t-SNE implementation and tests for dimensionality reduction

Implemented the t-distributed stochastic neighbor embedding (t-SNE) algorithm in dimensionality_reduction.py, including input validation and a test function.

* Fix Ruff linting errors E501 and EM102 in t-SNE implementation

Resolve line length violation (E501) and f-string literal in exception (EM102) by splitting error message and using variable assignment.

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Co-authored-by: Christian Clauss <cclauss@me.com>

2026-09-22 07:35:22 +02:00

..

forecasting

Upgrade to Python 3.13 (#11588)

2024-09-30 23:01:15 +02:00

local_weighted_learning

pre-commit: Add zizmor and replace prettier with rumdl (#15236)

2026-09-09 09:55:19 +01:00

lstm

[pre-commit.ci] pre-commit autoupdate (#11380)

2024-04-22 21:43:19 +02:00

__init__.py

Add __init__.py files in all the directories (#2503)

2020-09-28 19:42:36 +02:00

apriori_algorithm.py

feat: optimizing the prune function at the apriori_algorithm.py archive (#12992)

2025-10-20 01:21:00 +03:00

astar.py

ruff rule ANN202 missing-return-type-private-function (#15298)

2026-09-12 21:47:08 +02:00

automatic_differentiation.py

Fix ty invalid assignment (#15222)

2026-09-08 17:57:46 +02:00

data_transformations.py

[pre-commit.ci] pre-commit autoupdate (#11322)

2024-03-13 07:52:41 +01:00

dbscan.py

Add DBSCAN clustering algorithm in machine_learning/ (#14851)

2026-09-14 13:09:05 +02:00

decision_tree.py

ruff rule ANN202 missing-return-type-private-function (#15298)

2026-09-12 21:47:08 +02:00

dimensionality_reduction.py

Add t-SNE implementation and tests for dimensionality reduction (#13337)

2026-09-22 07:35:22 +02:00

federated_averaging.py

Feature federated learning (#13615)

2026-09-12 00:59:19 +02:00

frequent_pattern_growth.py

[pre-commit.ci] pre-commit autoupdate (#12398)

2024-11-25 21:46:20 +01:00

gaussian_mixture_model.py

Add Gaussian Mixture Model (GMM) Algorithm for Clustering (#13637)

2026-09-14 06:37:17 +02:00

gaussian_naive_bayes.py

ruff rule ANN202 missing-return-type-private-function (#15298)

2026-09-12 21:47:08 +02:00

gradient_boosting_classifier.py

Added Gradient Boosting Classifier (#10944)

2023-10-27 23:17:58 +02:00

gradient_boosting_regressor.py

ruff rule ANN202 missing-return-type-private-function (#15298)

2026-09-12 21:47:08 +02:00

gradient_descent.py

ruff rule ANN202 missing-return-type-private-function (#15298)

2026-09-12 21:47:08 +02:00

k_means_clust.py

ruff rule ANN202 missing-return-type-private-function (#15298)

2026-09-12 21:47:08 +02:00

k_medoids.py

Implement K-Medoids Clustering Algorithm #13488 (#13510)

2026-09-12 01:38:47 +02:00

k_nearest_neighbors.py

ty: un-ignore invalid-type-arguments (#15392)

2026-09-21 18:27:24 +02:00

linear_discriminant_analysis.py

Fix LDA comment grammar (#14800)

2026-09-21 18:13:56 +02:00

linear_regression_vectorized.py

Add vectorized implementations of Linear Regression using Gradient Descent (#13221)

2026-09-12 01:27:12 +02:00

linear_regression.py

Add regression visualization (#14637)

2026-09-16 09:06:03 +02:00

logistic_regression.py

Upgrade to Python 3.13 (#11588)

2024-09-30 23:01:15 +02:00

loss_functions.py

Add Gaussian negative log likelihood loss algorithm (#11263)

2026-09-16 00:55:05 +02:00

mab.py

added multi armed bandit problem with three strategies to solve it (#12668)

2026-09-15 19:20:58 +02:00

mean_shift.py

Add Mean Shift clustering algorithm in machine_learning/ (#14858)

2026-09-14 06:45:45 +02:00

mfcc.py

Upgrade to Python 3.13 (#11588)

2024-09-30 23:01:15 +02:00

mini_batch_gradient_descent.py

added mini batch gradient descent algo in ml dir (#13026)

2026-09-14 06:05:19 +02:00

multilayer_perceptron_classifier.py

Add implementation of the multi-layer perceptron classifier from scratch (#12756)

2026-09-06 18:11:11 +02:00

naive_bayes_text_classification.py

Add multinomial Naive Bayes text classification example (#14665)

2026-09-14 06:53:40 +02:00

ordinary_least_squares_regression.py

Add: Ordinary Least Squares Regression Algorithm (#10800)

2026-09-14 19:31:21 +02:00

polynomial_regression.py

pre-commit autoupdate 2025-09-11 (#12963)

2025-09-13 01:56:14 +03:00

principle_component_analysis.py

pre-commit autoupdate 2025-09-11 (#12963)

2025-09-13 01:56:14 +03:00

q_learning.py

Add Q-Learning algorithm implementation with epsilon-greedy policy an… (#13402)

2026-09-14 06:06:53 +02:00

random_forest_classifier.py

ruff rule ANN202 missing-return-type-private-function (#15298)

2026-09-12 21:47:08 +02:00

random_forest_regressor.py

ruff rule ANN202 missing-return-type-private-function (#15298)

2026-09-12 21:47:08 +02:00

ridge_regression.py

Add Ridge Regression to Machine Learning (#12246)

2026-09-19 22:59:02 +02:00

rmsprop.py

Add RMSprop optimizer to machine_learning (#14733)

2026-09-14 06:49:25 +02:00

scoring_functions.py

Upgrade to Python 3.13 (#11588)

2024-09-30 23:01:15 +02:00

self_organizing_map.py

[pre-commit.ci] pre-commit autoupdate (#11322)

2024-03-13 07:52:41 +01:00

sequential_minimum_optimization.py

ruff rule ANN202 missing-return-type-private-function (#15298)

2026-09-12 21:47:08 +02:00

similarity_search.py

Upgrade to Python 3.13 (#11588)

2024-09-30 23:01:15 +02:00

support_vector_machines.py

Upgrade to Python 3.13 (#11588)

2024-09-30 23:01:15 +02:00

t_stochastic_neighbour_embedding.py

Add t stochastic neighbour embedding using Iris dataset (#13476)

2025-10-14 13:14:22 +02:00

word_frequency_functions.py

ruff rules RET for return statements (#15301)

2026-09-12 21:33:52 +02:00