benson1231 Docs
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  • 首頁
  • 📦線上資源
  • 📚目錄
  • 💻Computer Science
    • 1.Data_Structure
      • 1.Linked_List.md
      • 2.Queue.md
      • 3.Stack.md
      • 4.Hash_table.md
      • 5.Tree.md
      • Heap
    • 2.Algorithm
      • 1.BFS.md
      • 2.DFS.md
      • 3.Heap_Sort.md
    • 3.Operating_Systems
      • Linux
        • Regex.md
        • awk.md
        • bash.md
        • grep.md
        • sed.md
    • 4.Front-end
      • css
        • Basic.md
        • BoxModel.md
        • Breadcrumbs.md
        • Color.md
        • Font.md
        • Pseudo_classes.md
        • RWD.md
        • display.md
      • html
        • HTML屬性.md
        • HTML標籤.md
      • javascript
        • DOM.md
        • Destructuring_Assignment.md
        • JavaScript 淺拷貝(Shallow Copy)與深拷貝(Deep Copy)教學
        • event.md
        • fetch.md
        • module.md
        • object.md
        • proxy.md
        • rest.md
      • react
        • Deploy.md
      • tools
        • npm.md
        • vite.md
        • webpack.md
      • typescript
      • vue
    • 5.Back-end
      • URL.md
      • FastAPI
        • 1.Routing.md
        • 2.Query_String.md
        • 3.Response.md
        • 4.Static_File.md
        • 5.Form.md
        • 6.Methods.md
        • 7.Request_Body.md
        • 8.FastAPI_DB.md
        • 9.RESTful_API.md
    • 6.DevOps
      • Docker.md
      • Git Cheat Sheet
      • Read_the_Docs.md
      • gitflow_model.md
      • github_flow_model.md
    • 7.Database
      • mongoDB
        • syntax.md
      • mysql
        • aggregate.md
        • basic.md
        • filter.md
        • foreign.md
        • index.md
        • join.md
        • mysql_python.md
        • update.md
    • 8.Cloud
      • AWS
        • CCP
          • AWS 資料庫核心服務概覽
          • EBS & EFS
          • AWS EC2 教學筆記
          • AWS ECS & EKS 教學筆記
          • AWS S3 儲存類別筆記
          • AWS Lambda 教學筆記
          • AWS 網路核心服務概覽
          • AWS 共享責任模型(Shared Responsibility Model)
  • Medical_Database
    • GTEx.md
    • TCGA.md
    • TWB.md
    • UKB.md
  • 🧬Next-Generation Sequencing
    • 1.introduction_of_NGS
      • 1.16s_rRNA.md
      • 10.CNV.md
      • 11.Shotgun.md
      • 2.RNAseq.md
      • 3.WGS.md
      • 4.WES.md
      • 5.scRNAseq.md
      • 6.Methylation.md
      • 7.WGBS.md
      • 8.CHIP_seq.md
      • 9.ATAC_seq.md
      • pair_end.md
    • 2.Bioinformatics_Tools
      • BCFtools.md
      • BEDtools.md
      • SAMtools.md
      • VCFtools.md
      • Vcf2maf.md
      • md5.md
    • 3.Data_format
      • 1.Data_format.md
      • 2.Fasta.md
      • 3.Fastq.md
      • 4.SAM.md
      • 5.BAM.md
    • 4.16s_rRNA_seq
      • DADA2.md
      • diversity.md
  • Others
    • Accounting
      • Discount_Rate.md
    • Chemical
      • RDKit.md
  • 📊Statistics
    • 1.Theoretical_Concepts
    • 2.Probability_and_Distributions
    • 3.Hypothesis_Testing
    • 4.Statistical_Techniques
      • ANOVA.md
      • Chi-square_Tests.md
      • Correlation.md
      • Descriptive_Statistics.md
      • Non_parametric_Tests.md
      • Paired_Comparisons.md
      • Survival_Analysis.md
      • T_tests_and_Z_tests.md
  • Data_Science
    • 1.Environment
      • miniconda.md
    • 2.Machine_Learning
      • 1.Theoretical_Concepts
        • Bias_Variance_Tradeoff.md
        • Curse_of_Dimensionality.md
        • Distance_Metrics.md
        • Loss_Functions.md
        • Overfitting_vs_Underfitting.md
        • Parametric_vs_Nonparametric_Models.md
      • 2.Feature_Engineering
        • Feature_Encoding.md
        • Lasso_regression.md
        • Normalization.md
        • Regularization.md
        • Ridge_Regression.md
      • 3.Dimensionality_Reduction
        • LDA.md
        • PCA.md
        • UMAP.md
        • t-SNE.md
      • 4.Supervised_Learning
        • Classification
          • Decision_Tree.md
          • KNN.md
          • Multiple_Linear_Regression.md
          • Naive_Bayes_Classifier.md
          • Random_Forests.md
          • SVM.md
        • Regression
          • Logistic_Regression.md
          • Recommender.md
          • Simple_Linear_Regression.md
      • 5.Unsupervised_Learning
        • Hierarchical_Clustering.md
        • K_Means.md
      • 6.Training_Settings
        • Cross_Validation.md
        • Hyperparameters_and_Fine_tuning.md
        • Optimizer.md
        • Train_Test_Split.md
        • Wrapper_Methods.md
      • 7.Evaluation
        • Performance.md
        • ROC_and_PR_Curves.md
        • SHAP.md
      • 8.Ensembling_Methods
        • Bagging.md
        • Boosting.md
        • Stacking.md
    • 3.Deep_Learning
    • 4.Workflow
      • Nextflow
        • CSV.md
        • channel.md
        • config.md
        • input_outout.md
        • module.md
        • params.md
        • run.md
      • 常見的 Snakemake 專案目錄結構
        • Snakemake CLI 常用指令整理
        • Snakemake 工作流程撰寫說明
  • Languages
    • English_for_engineer
    • Latex
    • Markdown
    • Python
      • CSV.md
      • Concurrent_Programming.md
      • Decorator.md
      • Dunder.md
      • Exception.md
      • JSON.md
      • OOP.md
      • Paradigms_of_Programming.md
      • String_Format.md
      • Unit_Testing.md
      • lambda.md
      • Package
        • argparse.md
        • logging.md
        • matplotlib.md
        • numpy.md
        • requests.md
        • skimage.md
        • sklearn.md
    • R
    • SQL
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CSV.mdConcurrent_Programming.mdDecorator.mdDunder.mdException.mdJSON.mdOOP.mdParadigms_of_Programming.mdString_Format.mdUnit_Testing.mdlambda.mdPackage
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Last updated 23 days ago