Khansa435 709c18ee9f Add t stochastic neighbour embedding using Iris dataset (#13476) ...

* Added t-SNE with Iris dataset example

* Added t-SNE with Iris dataset example

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* Updated with descriptive variables

* Add descriptive variable names

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* Add Descriptive Variable names

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* Update machine_learning/t_stochastic_neighbour_embedding.py

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

* Update machine_learning/t_stochastic_neighbour_embedding.py

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

* Improved line formatting

* Adding URL for t-SNE Wikipedia

* Apply suggestion from @cclauss

---------

Co-authored-by: pre-commit-ci[bot] <66853113+pre-commit-ci[bot]@users.noreply.github.com>
Co-authored-by: Christian Clauss <cclauss@me.com>

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

..

forecasting

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local_weighted_learning

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lstm

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__init__.py

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apriori_algorithm.py

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astar.py

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automatic_differentiation.py

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data_transformations.py

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decision_tree.py

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dimensionality_reduction.py

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frequent_pattern_growth.py

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gaussian_naive_bayes.py.broken.txt

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gradient_boosting_classifier.py

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gradient_boosting_regressor.py.broken.txt

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gradient_descent.py

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k_means_clust.py

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k_nearest_neighbours.py

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linear_discriminant_analysis.py

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linear_regression.py

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logistic_regression.py

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loss_functions.py

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mfcc.py

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multilayer_perceptron_classifier.py

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polynomial_regression.py

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principle_component_analysis.py

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random_forest_classifier.py.broken.txt

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random_forest_regressor.py.broken.txt

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scoring_functions.py

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self_organizing_map.py

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sequential_minimum_optimization.py

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similarity_search.py

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support_vector_machines.py

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t_stochastic_neighbour_embedding.py

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

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word_frequency_functions.py

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xgboost_classifier.py

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xgboost_regressor.py

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