# Coursera **Repository Path**: mirrors_shenweichen/Coursera ## Basic Information - **Project Name**: Coursera - **Description**: Quiz & Assignment of Coursera - **Primary Language**: Unknown - **License**: Not specified - **Default Branch**: master - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 0 - **Forks**: 0 - **Created**: 2021-10-22 - **Last Updated**: 2026-05-31 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README # Coursera Assignments This repository is aimed to help Coursera learners who have difficulties in their learning process. The quiz and programming homework is belong to coursera.Please **Do Not** use them for any other purposes. Please feel free to contact me if you have any problem,my email is wcshen1994@163.com. * [Bayesian Statistics From Concept to Data Analysis](./Bayesian_Statistics_From_Concept_to_Data_Analysis_UC_Santa_Cruz) * [Learn to Program: Crafting Quality Code](./Learn_to_Program_Crafting_Quality_Code_University_of_Toronto) * [Neural Networks for Machine Learning-University of Toronto](./Neural_Networks_for_Machine_Learning_University_of_Toronto) * Specialization Advanced Machine Learning Higher School of Economics * Introduction to Deep Learning * [Specialization Applied Data Science with Python](./Specialization_Applied_Data_Science_with_Python_University_of_Michigan) * Introduction to Data Science in Python * Applied Machine Learning in Python * [Specialization Big Data-UCSD](./Specialization_Big_Data_UC_San_Diego) * Introduction to Big Data * Big Data Modeling and Management Systems * Big Data Interation and Processing * [Specialization Data Mining-UIUC](./Specialization_Data_Mining_UIUC) * Text Retrieval and Search Engines * Text Mining and Analytics * Pattern Discovery in Data Mining * Cluster Analysis in Data Mining * [Specialization Data Science-Johns Hopkins University](./Specialization_Data_Science_Johns_Hopkins_University) * The Data Scientist’s Toolbox * R Programming * Getting and Cleaning Data * [Specialization Data Structures & Algorithms-UC San Diego](./Specialization_Data_Structures_Algorithms_UC_San_Diego) * Algorithmic Toolbox * Data Structures * Algorithms on Graphs * Algorithms on Strings * [Specialization Deep Learning](./Specialization_Deep_Learning_deeplearning.ai) * Neural Networks and Deep Learning * Improving Deep Neural Networks Hyperparameter tuning, Regularization and Optimization * Structuring Machine Learning Projects * Convolutional Neural Networks * Sequence Models * [Specialization Functional Programming in Scala](./Specialization_Functional_Programming_in_Scala) * Functional Programming Principles in Scala * Specialization Fundamentals of Computing-Rice University * Principles of Computing 1 * [Specialization Meachine Learning-University of Washington](./Specialization_Machine_Learning_University_of_Washington) * Machine Learning Foundations: A Case Study Approach * Machine Learning: Regression * Machine Learning: Classification * Machine Learning: Clustering & Retrieval * [Specialization Probabilistic Graphical Models-Stanford University](./Specialization_Probabilistic_Graphical_Models_Stanford_University) * Probabilistic Graphical Models 1: Representation * Probabilistic Graphical Models 2: Inference * Probabilistic Graphical Models 3: Learning * [Specialization 程序设计与算法-Peking University](./Specialization_Program_Design_Algorithm_Peking_University) * 计算导论与C语言基础 * C程序设计进阶 * C++程序设计 * 算法基础 * 数据结构基础 * [Specialization Recommender System-University of Minnesota](./Specialization_Recommender_System_University_of_Minnesota) * Introduction to Recommender Systems: Non-Personalized and Content-Based * Nearest Neighbor Collaborative Filtering * Recommender Systems:Evaluation and Metrics * Matrix Factorization and Advanced Techniques * [Specialization Statistics with R-Duke University](./Specialization_Statistics_with_R_Duke_University) * Introduction to Probability and Data * Inferential Statistics * [The Unix Workbench-Johns Hopkins University](./The_Unix_Workbench_Johns_Hopkins_University)