{"id":20851964,"url":"https://github.com/chaoses-ib/statistics","last_synced_at":"2025-03-23T16:33:35.135Z","repository":{"id":111897164,"uuid":"538791468","full_name":"Chaoses-Ib/Statistics","owner":"Chaoses-Ib","description":null,"archived":false,"fork":false,"pushed_at":"2024-05-30T18:14:43.000Z","size":2190,"stargazers_count":4,"open_issues_count":0,"forks_count":0,"subscribers_count":2,"default_branch":"main","last_synced_at":"2025-01-28T22:44:11.427Z","etag":null,"topics":["data-mining","data-science","maching-learning","statistics"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/Chaoses-Ib.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE.txt","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2022-09-20T03:18:41.000Z","updated_at":"2025-01-20T19:06:09.000Z","dependencies_parsed_at":"2025-01-28T22:42:32.500Z","dependency_job_id":"5ac23d2d-eff4-4fdb-b4ad-6c9b1c68ae69","html_url":"https://github.com/Chaoses-Ib/Statistics","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Chaoses-Ib%2FStatistics","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Chaoses-Ib%2FStatistics/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Chaoses-Ib%2FStatistics/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Chaoses-Ib%2FStatistics/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Chaoses-Ib","download_url":"https://codeload.github.com/Chaoses-Ib/Statistics/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":245131488,"owners_count":20565836,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["data-mining","data-science","maching-learning","statistics"],"created_at":"2024-11-18T03:15:45.619Z","updated_at":"2025-03-23T16:33:35.109Z","avatar_url":"https://github.com/Chaoses-Ib.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# [Statistics](Statistics.md)\n- [Libraries](Libraries.md)\n\n## [Probability Theory](Probability/README.md)\n- [Bayes' Theorem](Probability/Bayes'%20Theorem.md)\n\n## Descriptive Statistics\n- Dispersion\n  - [Variance](Descriptive/Dispersion/Variance.md)\n\n## [Statistical Inference](Inference/README.md)\n- [Statistical Distances](Inference/Distances/README.md)\n  - [Cross-entropy](Inference/Distances/Cross-entropy.md)\n- [Probability Density Estimation](Inference/Probability%20Density/README.md)\n  - [Kernel Density Estimation](Inference/Probability%20Density/Kernel%20Density%20Estimation.md)\n- [Bayesian Inference](Inference/Bayesian/README.md)\n  - [Conjugate Priors](Inference/Bayesian/Conjugate%20Priors.md)\n  - [Maximum A Posteriori Estimation](Inference/Bayesian/Maximum%20A%20Posteriori%20Estimation.md)\n- [Probabilistic Graphical Models](Inference/Graphical/README.md)\n  - [Directed Probabilistic Graphical Models](Inference/Graphical/Directed/README.md)\n  - [Undirected Probabilistic Graphical Models](Inference/Graphical/Undirected/README.md)\n    - [Conditional Random Fields](Inference/Graphical/Undirected/Conditional/README.md)\n      - [使用线性条件随机场实现中文分词](Inference/Graphical/Undirected/Conditional/使用线性条件随机场实现中文分词.md)\n\n## [Multivariate Statistics](Multivariate/README.md)\n- [Random Vectors and Matrices](Multivariate/Random%20Vectors%20and%20Matrices.md)\n- [Multivariate Normal Distribution](Multivariate/Multivariate%20Normal%20Distribution.md)\n\n### [Data Preprocessing](Multivariate/Data%20Preprocessing/README.md)\n- [Data Quality](Multivariate/Data%20Preprocessing/Data%20Quality/README.md)\n  - [Missing Values](Multivariate/Data%20Preprocessing/Data%20Quality/Missing%20Values.md)\n- [Dimensionality Reduction](Multivariate/Data%20Preprocessing/Dimensionality%20Reduction/README.md)\n  - [Principal Component Analysis](Multivariate/Data%20Preprocessing/Dimensionality%20Reduction/Principal%20Component%20Analysis.md)\n  - [UV-Decomposition](Multivariate/Data%20Preprocessing/Dimensionality%20Reduction/UV-Decomposition.md)\n  - [Manifold Learning](Multivariate/Data%20Preprocessing/Dimensionality%20Reduction/Manifold%20Learning/README.md)\n    - [Multidimensional Scaling](Multivariate/Data%20Preprocessing/Dimensionality%20Reduction/Manifold%20Learning/Multidimensional%20Scaling.md)\n- [Feature Engineering](Multivariate/Data%20Preprocessing/Feature%20Engineering/README.md)\n  - [Polynomial Feature Transform](Multivariate/Data%20Preprocessing/Feature%20Engineering/Polynomial%20Feature%20Transform.md)\n  - [Featuretools](Multivariate/Data%20Preprocessing/Feature%20Engineering/Featuretools.md)\n\n### Finding Similar Items\n- [Measures of Similarity and Dissimilarity](Multivariate/Finding%20Similar%20Items/Measures%20of%20Similarity%20and%20Dissimilarity.md)\n  - [Binary Similarity Measures](Multivariate/Finding%20Similar%20Items/Binary%20Similarity%20Measures.md)\n  - [Edit Distance](Multivariate/Finding%20Similar%20Items/Edit%20Distance/README.md)\n    - [Levenshtein Distance](Multivariate/Finding%20Similar%20Items/Edit%20Distance/Levenshtein%20Distance.md)\n- [Near-Neighbor Search](Multivariate/Finding%20Similar%20Items/Near-Neighbor%20Search.md)\n- [Shingling of Documents](Multivariate/Finding%20Similar%20Items/Shingling%20of%20Documents.md)\n- [Similarity-Preserving Summaries of Sets](Multivariate/Finding%20Similar%20Items/Similarity-Preserving%20Summaries%20of%20Sets.md)\n- [Locality-Sensitive Hashing for Documents](Multivariate/Finding%20Similar%20Items/Locality-Sensitive%20Hashing%20for%20Documents.md)\n\n### [Clustering](Multivariate/Clustering/README.md)\n- Representative-based Clustering\n  - [K-means Clustering](Multivariate/Clustering/Representative-based/K-means.md)\n  - [Expectation-Maximization Clustering](Multivariate/Clustering/Representative-based/Expectation-Maximization%20Clustering.md)\n- Density-based Clustering\n  - [DBSCAN](Multivariate/Clustering/Density-based/DBSCAN.md)\n- [Hierarchical Clustering](Multivariate/Clustering/Hierarchical/README.md)\n  - [Agglomerative Hierarchical Clustering](Multivariate/Clustering/Hierarchical/Agglomerative%20Hierarchical%20Clustering.md)\n- Fuzzy Clustering\n  - [Fuzzy C-means Clustering](Multivariate/Clustering/Fuzzy/Fuzzy%20C-means%20Clustering.md)\n- [Clustering Validation](Multivariate/Clustering/Validation/README.md)\n  - [External Measures](Multivariate/Clustering/Validation/External%20Measures.md)\n  - [Internal Measures](Multivariate/Clustering/Validation/Internal%20Measures.md)\n  - [Relative Measures](Multivariate/Clustering/Validation/Relative%20Measures.md)\n\n### [Classification](Multivariate/Classification/README.md)\n- [Classification Assessment](Multivariate/Classification/Classification%20Assessment/README.md)\n  - [Performance Measures](Multivariate/Classification/Classification%20Assessment/Performance%20Measures.md)\n    - [Positive and Negative Predictive Values](Multivariate/Classification/Classification%20Assessment/Positive%20and%20Negative%20Predictive%20Values.md)\n  - [Model Evaluation](Multivariate/Classification/Classification%20Assessment/Model%20Evaluation.md)\n    - [Model Overfitting](Multivariate/Classification/Classification%20Assessment/Model%20Overfitting.md)\n  - [Receiver Operating Characteristic Analysis](Multivariate/Classification/Classification%20Assessment/Receiver%20Operating%20Characteristic%20Analysis.md)\n- Probabilistic Classification\n  - [Bayes Classifier](Multivariate/Classification/Probabilistic/Bayes%20Classifier.md)\n- [Decision Tree Classifier](Multivariate/Classification/Decision%20Tree%20Classifier/README.md)\n  - [Random Forest](Multivariate/Classification/Decision%20Tree%20Classifier/Random%20Forest.md)\n- [Support Vector Machine](Multivariate/Classification/Support%20Vector%20Machine/README.md)\n\n### [Regression Analysis](Multivariate/Regression/README.md)\n- Linear Regression\n- [Logistic Regression](Multivariate/Regression/Logistic/README.md)\n  - [Multinomial Logistic Regression](Multivariate/Regression/Logistic/Multinomial.md) ([Python](Multivariate/Regression/Logistic/Multinomial.ipynb))\n\n### [Link Analysis](Multivariate/Link%20Analysis/README.md)\n- [Web Graph](Multivariate/Link%20Analysis/Web%20Graph.md)\n- [PageRank](Multivariate/Link%20Analysis/PageRank/README.md)\n  - [Topic-Sensitive PageRank](Multivariate/Link%20Analysis/PageRank/Topic-Sensitive%20PageRank.md)\n  - [Link Spam](Multivariate/Link%20Analysis/PageRank/Link%20Spam.md)\n  - [Hubs and Authorities](Multivariate/Link%20Analysis/PageRank/Hubs%20and%20Authorities.md)\n\n### Association Analysis\n- [Itemset and Association Rule](Multivariate/Association%20Analysis/Itemset%20and%20Association%20Rule.md)\n- [Itemset Mining](Multivariate/Association%20Analysis/Itemset%20Mining.md)\n- [Association Rule Mining](Multivariate/Association%20Analysis/Association%20Rule%20Mining.md)\n- [Compact Representation of Itemsets](Multivariate/Association%20Analysis/Compact%20Representation%20of%20Itemsets.md)\n- Assessment\n  - [Objective Measures of Interestingness](Multivariate/Association%20Analysis/Assessment/Objective%20Measures%20of%20Interestingness.md)\n\n### [Recommendation Systems](Multivariate/Recommendation%20Systems/README.md)\n- [Content-Based Recommendations](Multivariate/Recommendation%20Systems/Content-Based%20Recommendations/README.md)\n- [Collaborative Filtering](Multivariate/Recommendation%20Systems/Collaborative%20Filtering/README.md)\n  - [Clustering Users and Items](Multivariate/Recommendation%20Systems/Collaborative%20Filtering/Clustering%20Users%20and%20Items.md)\n- [Resource](Multivariate/Recommendation%20Systems/Resource.md)\n- [Services](Multivariate/Recommendation%20Systems/Services.md)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fchaoses-ib%2Fstatistics","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fchaoses-ib%2Fstatistics","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fchaoses-ib%2Fstatistics/lists"}