{"id":16941904,"url":"https://github.com/shenweichen/coursera","last_synced_at":"2025-04-12T15:37:43.503Z","repository":{"id":45904962,"uuid":"62279451","full_name":"shenweichen/Coursera","owner":"shenweichen","description":"Quiz \u0026 Assignment of Coursera","archived":false,"fork":false,"pushed_at":"2020-12-20T09:32:52.000Z","size":75368,"stargazers_count":870,"open_issues_count":7,"forks_count":659,"subscribers_count":54,"default_branch":"master","last_synced_at":"2024-10-14T21:10:31.178Z","etag":null,"topics":["computer-vision","coursera","data-science","data-structures","deep-learning","machine-learning","natural-language-processing","reinforcement-learning"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/shenweichen.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null}},"created_at":"2016-06-30T04:31:41.000Z","updated_at":"2024-10-09T11:51:49.000Z","dependencies_parsed_at":"2022-08-03T09:00:47.569Z","dependency_job_id":null,"html_url":"https://github.com/shenweichen/Coursera","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/shenweichen%2FCoursera","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/shenweichen%2FCoursera/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/shenweichen%2FCoursera/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/shenweichen%2FCoursera/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/shenweichen","download_url":"https://codeload.github.com/shenweichen/Coursera/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":248590542,"owners_count":21129841,"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":["computer-vision","coursera","data-science","data-structures","deep-learning","machine-learning","natural-language-processing","reinforcement-learning"],"created_at":"2024-10-13T21:10:37.030Z","updated_at":"2025-04-12T15:37:38.492Z","avatar_url":"https://github.com/shenweichen.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Coursera Assignments\nThis repository is aimed to help Coursera learners who have difficulties in their learning process.  \nThe quiz and programming homework is belong to coursera.Please **Do Not** use them for any other purposes.  \nPlease feel free to contact me if you have any problem,my email is wcshen1994@163.com.\n\n* [Bayesian Statistics From Concept to Data Analysis](./Bayesian_Statistics_From_Concept_to_Data_Analysis_UC_Santa_Cruz)\n\n* [Learn to Program: Crafting Quality Code](./Learn_to_Program_Crafting_Quality_Code_University_of_Toronto)\n\n* [Neural Networks for Machine Learning-University of Toronto](./Neural_Networks_for_Machine_Learning_University_of_Toronto)\n\n* Specialization Advanced Machine Learning Higher School of Economics\n  * Introduction to Deep Learning\n\n* [Specialization Applied Data Science with Python](./Specialization_Applied_Data_Science_with_Python_University_of_Michigan)\n  * Introduction to Data Science in Python\n  * Applied Machine Learning in Python\n\n* [Specialization Big Data-UCSD](./Specialization_Big_Data_UC_San_Diego)\n  * Introduction to Big Data\n  * Big Data Modeling and Management Systems\n  * Big Data Interation and Processing\n\n* [Specialization Data Mining-UIUC](./Specialization_Data_Mining_UIUC)\n  * Text Retrieval and Search Engines\n  * Text Mining and Analytics\n  * Pattern Discovery in Data Mining\n  * Cluster Analysis in Data Mining\n\n* [Specialization Data Science-Johns Hopkins University](./Specialization_Data_Science_Johns_Hopkins_University)\n  * The Data Scientist’s Toolbox\n  * R Programming\n  * Getting and Cleaning Data\n\n* [Specialization Data Structures \u0026 Algorithms-UC San Diego](./Specialization_Data_Structures_Algorithms_UC_San_Diego)\n  * Algorithmic Toolbox\n  * Data Structures\n  * Algorithms on Graphs\n  * Algorithms on Strings\n\n* [Specialization Deep Learning](./Specialization_Deep_Learning_deeplearning.ai)\n  * Neural Networks and Deep Learning\n  * Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization\n  * Structuring Machine Learning Projects\n  * Convolutional Neural Networks\n  * Sequence Models\n\n* [Specialization Functional Programming in Scala](./Specialization_Functional_Programming_in_Scala)\n  * Functional Programming Principles in Scala\n\n* Specialization Fundamentals of Computing-Rice University\n  * Principles of Computing 1\n\n* [Specialization Meachine Learning-University of Washington](./Specialization_Machine_Learning_University_of_Washington)\n  * Machine Learning Foundations: A Case Study Approach\n  * Machine Learning: Regression\n  * Machine Learning: Classification\n  * Machine Learning: Clustering \u0026 Retrieval\n\n* [Specialization Probabilistic Graphical Models-Stanford University](./Specialization_Probabilistic_Graphical_Models_Stanford_University)\n  * Probabilistic Graphical Models 1: Representation\n  * Probabilistic Graphical Models 2: Inference\n  * Probabilistic Graphical Models 3: Learning\n\n* [Specialization 程序设计与算法-Peking University](./Specialization_Program_Design_Algorithm_Peking_University)\n  * 计算导论与C语言基础\n  * C程序设计进阶\n  * C++程序设计\n  * 算法基础\n  * 数据结构基础\n\n* [Specialization Recommender System-University of Minnesota](./Specialization_Recommender_System_University_of_Minnesota)\n  * Introduction to Recommender Systems: Non-Personalized and Content-Based\n  * Nearest Neighbor Collaborative Filtering\n  * Recommender Systems:Evaluation and Metrics\n  * Matrix Factorization and Advanced Techniques\n\n* [Specialization Statistics with R-Duke University](./Specialization_Statistics_with_R_Duke_University)\n  * Introduction to Probability and Data\n  * Inferential Statistics\n* [The Unix Workbench-Johns Hopkins University](./The_Unix_Workbench_Johns_Hopkins_University)\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fshenweichen%2Fcoursera","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fshenweichen%2Fcoursera","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fshenweichen%2Fcoursera/lists"}