• Python
  • 1.1?基础
    • while语句
    • 字符串边缘填充
    • 列出文件夹中的指定文件类型
    • All Combinations For A List Of Objects
    • Apply Operations Over Items In A List
    • Applying Functions To List Items
    • Arithmetic Basics
    • Assignment Operators
    • Basic Operations With NumPy Array
    • Breaking Up String Variables
    • Brute Force D20 Roll Simulator
    • Cartesian Product
    • Chain Together Lists
    • Cleaning Text
    • Compare Two Dictionaries
    • Concurrent Processing
    • Continue And Break Loops
    • Convert HTML Characters To Strings
    • Converting Strings To Datetime
    • Create A New File Then Write To It
    • Create A Temporary File
    • Data Structure Basics
    • Date And Time Basics
    • Dictionary Basics
    • Display JSON
    • Display Scientific Notation As Floats
    • Exiting A Loop
    • Find The Max Value In A Dictionary
    • Flatten Lists Of Lists
    • For Loop
    • Formatting Numbers
    • Function Annotation Examples
    • Function Basics
    • Functions Vs. Generators
    • Generating Random Numbers With NumPy
    • Generator Expressions
    • Hard Wrapping Text
    • How To Use Default Dicts
    • If Else On Any Or All Elements
    • Indexing And Slicing NumPy Arrays
    • Indexing And Slicing NumPy Arrays
    • Iterate An Ifelse Over A List
    • Iterate Over Multiple Lists Simultaneously
    • Iterating Over Dictionary Keys
    • Lambda Functions
    • Logical Operations
    • Looping Over Two Lists
    • Mathematical Operations
    • Mocking Functions
    • Nested For Loops Using List Comprehension
    • Nesting Lists
    • Numpy Array Basics
    • Parallel Processing
    • Partial Function Applications
    • Priority Queues
    • Queues And Stacks
    • Recursive Functions
    • Scheduling Jobs In The Future
    • Select Random Element From A List
    • Selecting Items In A List With Filters
    • Set The Color Of A Matplotlib Plot
    • Sort A List Of Names By Last Name
    • Sort A List Of Strings By Length
    • Store API Credentials For Open Source Projects
    • String Formatting
    • String Indexing
    • String Operations
    • Swapping Variable Values
    • Unpacking A Tuple
    • Unpacking Function Arguments
    • Use Command Line Arguments In A Function
    • Using Named Tuples To Store Data
    • any(), all(), max(), min(), sum()
    • if and if else
    • repr vs. str
    • Try, Except, 和 Finally
  • 1.2?数据可视化
    • Back To Back Bar Plot In MatPlotLib
    • Bar Plot In MatPlotLib
    • Color Palettes in Seaborn
    • Creating A Time Series Plot With Seaborn And pandas
    • Creating Scatterplots With Seaborn
    • Group Bar Plot In MatPlotLib
    • Histograms In MatPlotLib
    • Making A Matplotlib Scatterplot From A Pandas Dataframe
    • Matplotlib, A Simple Example
    • Pie Chart In MatPlotLib
    • Scatterplot In MatPlotLib
    • Stacked Percentage Bar Plot In MatPlotLib
  • 1.3?数据整理
    • 查找数据框中的唯一值
    • 连接合并数据框
    • Columns Shared By Two Data Frames
    • Apply Functions By Group In Pandas
    • Apply Operations To Groups In Pandas
    • Applying Operations Over pandas Dataframes
    • Assign A New Column To A Pandas DataFrame
    • Break A List Into N-Sized Chunks
    • Breaking Up A String Into Columns Using Regex In pandas
    • Construct A Dictionary From Multiple Lists
    • Convert A CSV Into Python Code To Recreate It
    • Convert A Categorical Variable Into Dummy Variables
    • Convert A Categorical Variable Into Dummy Variables
    • Convert A String Categorical Variable To A Numeric Variable
    • Convert A Variable To A Time Variable In pandas
    • Count Values In Pandas Dataframe
    • Create A Pipeline In Pandas
    • Create A pandas Column With A For Loop
    • Create Counts Of Items
    • Create a Column Based on a Conditional in pandas
    • Creating Lists From Dictionary Keys And Values
    • Crosstabs In pandas
    • Delete Duplicates In pandas
    • Descriptive Statistics For pandas Dataframe
    • Dropping Rows And Columns In pandas Dataframe
    • Enumerate A List
    • Expand Cells Containing Lists Into Their Own Variables In Pandas
    • Filter pandas Dataframes
    • Find Largest Value In A Dataframe Column
    • Geocoding And Reverse Geocoding
    • Geolocate A City And Country
    • Geolocate A City Or Country
    • Group A Time Series With pandas
    • Group Data By Time
    • Group Pandas Data By Hour Of The Day
    • Grouping Rows In pandas
    • Hierarchical Data In pandas
    • List Unique Values In A pandas Column
    • Load A JSON File Into Pandas
    • Load An Excel File Into Pandas
    • Load Excel Spreadsheet As pandas Dataframe
    • Loading A CSV Into pandas
    • Long To Wide Format
    • Lower Case Column Names In Pandas Dataframe
    • Make New Columns Using Functions
    • Map External Values To Dataframe Values in pandas
    • Missing Data In pandas Dataframes
    • Moving Averages In pandas
    • Normalize A Column In pandas
    • Pivot Tables In pandas
    • Quickly Change A Column Of Strings In Pandas
    • Random Sampling Dataframe
    • Ranking Rows Of Pandas Dataframes
    • Regular Expression Basics
    • Regular Expression By Example
    • Reindexing pandas Series And Dataframes
    • Rename Column Headers In pandas
    • Rename Multiple pandas Dataframe Column Names
    • Replacing Values In pandas
    • Saving A pandas Dataframe As A CSV
    • Search A pandas Column For A Value
    • Select Rows When Columns Contain Certain Values
    • Select Rows With A Certain Value
    • Select Rows With Multiple Filters
    • Selecting pandas DataFrame Rows Based On Conditions
    • Simple Example Dataframes In pandas
    • Sorting Rows In pandas Dataframes
    • Split Lat/Long Coordinate Variables Into Seperate Variables
    • Streaming Data Pipeline
    • String Munging In Dataframe
    • Using List Comprehensions With pandas
    • Using Seaborn To Visualize A pandas Dataframe
    • pandas Data Structures
    • pandas Time Series Basics
  • 1.4?日志
    • Basic Logging
  • 1.5?其它
    • Generate Tweets Using Markov Chains
    • Mine Twitter's Stream For Hashtags Or Words
    • Simple Clustering With SciPy
    • What Is The Probability An Economy Class Seat Is An Aisle Seat?
  • 1.6?测试
    • Simple Unit Test
    • Test Code Speed
    • Test For A Specific Exception
    • Test If Output Is Close To A Value
    • Testable Documentation
  • 1.7?网络爬虫
    • Beautiful Soup Basic HTML Scraping
    • Drilling Down With Beautiful Soup
    • Monitor A Website For Changes With Python
• 机器学习
  • 1.1??基础知识
    • Loading Features From Dictionaries
    • Loading scikit-learn's Boston Housing Dataset
    • Loading scikit-learn's Digits Dataset
    • Loading scikit-learn's Iris Dataset
    • Make Simulated Data For Classification
    • Make Simulated Data For Clustering
    • Make Simulated Data For Regression
    • Perceptron In Scikit
    • Saving Machine Learning Models
  • 1.2??聚类
    • DBSCAN聚类
    • Meanshift聚类
    • 聚类评估
    • Agglomerative聚类
    • Mini-Batch k-Means Clustering
    • k-Means Clustering
  • 1. 3?特征工程
    • Dimensionality Reduction On Sparse Feature Matrix
    • Dimensionality Reduction With Kernel PCA
    • Dimensionality Reduction With PCA
    • Feature Extraction With PCA
    • Group Observations Using K-Means Clustering
    • Selecting The Best Number Of Components For LDA
    • Selecting The Best Number Of Components For TSVD
    • Using Linear Discriminant Analysis For Dimensionality Reduction
  • 1.4??特征选择
    • ANOVA F-value For Feature Selection
    • Chi-Squared For Feature Selection
    • Drop Highly Correlated Features
    • Recursive Feature Elimination
    • Variance Thresholding Binary Features
    • 特征选择之方差阈值
  • 1.5??线性回归
    • Adding Interaction Terms
    • Create Interaction Features
    • Effect Of Alpha On Lasso Regression
    • Lasso Regression
    • Linear Regression
    • Linear Regression Using Scikit-Learn
    • Ridge Regression
    • Selecting The Best Alpha Value In Ridge Regression
  • 1. 6?逻辑斯特回归
    • Fast C Hyperparameter Tuning
    • Handling Imbalanced Classes In Logistic Regression
    • Logistic Regression
    • Logistic Regression On Very Large Data
    • Logistic Regression With L1 Regularization
    • One Vs. Rest Logistic Regression
  • 1. 7?模型评估
    • Accuracy
    • Create Baseline Classification Model
    • Create Baseline Regression Model
    • Cross Validation Pipeline
    • Cross Validation With Parameter Tuning Using Grid Search
    • Cross-Validation
    • Custom Performance Metric
    • F1 Score
    • Generate Text Reports On Performance
    • Nested Cross Validation
    • Plot The Learning Curve
    • Plot The Receiving Operating Characteristic Curve
    • Plot The Validation Curve
    • Precision
    • Recall
    • Split Data Into Training And Test Sets
  • 1.8?模型选择
    • 随机搜索进行超参数调参
    • Find Best Preprocessing Steps During Model Selection
    • Hyperparameter Tuning Using Grid Search
    • Model Selection Using Grid Search
    • Pipelines With Parameter Optimization
  • 1.9??朴素贝叶斯
    • Bernoulli Naive Bayes Classifier
    • Calibrate Predicted Probabilities
    • Gaussian Naive Bayes Classifier
    • Multinomial Logistic Regression
    • Multinomial Naive Bayes Classifier
    • Naive 大专栏   MatterTrack Route Of Network Traffic :: Matter Bayes Classifier From Scratch
  • 1.10?KNN
    • Identifying Best Value Of k
    • K-Nearest Neighbors Classification
    • Radius-Based Nearest Neighbor Classifier
  • 1.11?日期时间数据处理
    • Break Up Dates And Times Into Multiple Features
    • Calculate Difference Between Dates And Times
    • Convert Strings To Dates
    • Convert pandas Columns Time Zone
    • Encode Days Of The Week
    • Handling Missing Values In Time Series
    • Handling Time Zones
    • Lag A Time Feature
    • Rolling Time Window
    • Select Date And Time Ranges
  • 1.12?图像处理
    • Binarize Images
    • Blurring Images
    • Cropping Images
    • Detect Edges
    • Enhance Contrast Of Color Image
    • Enhance Contrast Of Greyscale Image
    • Harris Corner Detector
    • Installing OpenCV
    • Isolate Colors
    • Load Images
    • Remove Backgrounds
    • Save Images
    • Sharpen Images
    • Shi-Tomasi Corner Detector
    • Using Mean Color As A Feature
  • 1.13?处理结构化数据
    • Convert Pandas Categorical Data For Scikit-Learn
    • Delete Observations With Missing Values
    • Deleting Missing Values
    • Detecting Outliers
    • Discretize Features
    • Encoding Ordinal Categorical Features
    • Handling Imbalanced Classes With Downsampling
    • Handling Imbalanced Classes With Upsampling
    • Handling Outliers
    • Impute Missing Values With Means
    • Imputing Missing Class Labels
    • Imputing Missing Class Labels Using k-Nearest Neighbors
    • Normalizing Observations
    • One-Hot Encode Features With Multiple Labels
    • One-Hot Encode Nominal Categorical Features
    • Preprocessing Categorical Features
    • Preprocessing Iris Data
    • Rescale A Feature
    • Standardize A Feature
  • 1.14?处理文本
    • Bag Of Words
    • Parse HTML
    • Remove Punctuation
    • Remove Stop Words
    • Replace Characters
    • Stemming Words
    • Strip Whitespace
    • Tag Parts Of Speech
    • Term Frequency Inverse Document Frequency
    • Tokenize Text
  • 1.15?支持向量机
    • Calibrate Predicted Probabilities In SVC
    • Find Nearest Neighbors
    • Find Support Vectors
    • Imbalanced Classes In SVM
    • Plot The Support Vector Classifiers Hyperplane
    • SVC Parameters When Using RBF Kernel
    • Support Vector Classifier
  • 1.16?树和森林
    • 随机森林做特征选择
    • Adaboost Classifier
    • Decision Tree Classifier
    • Decision Tree Regression
    • Feature Importance
    • Handle Imbalanced Classes In Random Forest
    • Random Forest Classifier
    • Random Forest Classifier Example
    • Random Forest Regression
    • Select Important Features In Random Forest
    • Titanic Competition With Random Forest
    • Visualize A Decision Tree
  • 1.17?向量，矩阵和数组
    • Adding And Subtracting Matrices
    • Apply Operations To Elements
    • Calculate Dot Product Of Two Vectors
    • Calculate The Average, Variance, And Standard Deviation
    • Calculate The Determinant Of A Matrix
    • Calculate The Trace Of A Matrix
    • Converting A Dictionary Into A Matrix
    • Create A Matrix
    • Create A Sparse Matrix
    • Create A Vector
    • Describe An Array
    • Find The Maximum And Minimum
    • Find The Rank Of A Matrix
    • Flatten A Matrix
    • Getting The Diagonal Of A Matrix
    • Invert A Matrix
    • Reshape An Array
    • Selecting Elements In An Array
    • Transpose A Vector Or Matrix
• 数据可视化
  • 3.1?boxplot
  • 3.2?柱状图
  • 3.3?箱线图
  • 3.4?相关性图
  • 3.5?密度图
    • 12.5.1 一般密度图
    • 12.5.2 边缘密度
  • 3.6?分布图
  • 3.7?趋势图
  • 3.8?流程图
  • 3.9?热图
  • 3.10?直方图
  • 3.11?地图
  • 3.12?网络图
  • 3.13?饼状图
  • 3.14?排序图
  • 3.15?散点图
  • 3.16?小提琴图
  • 3.17?文字云
  • 3.18?其它
• Linux
  • 6. 1 基础
    • Copy Files And Directories
    • Delete Files And Directories
    • Delete Files And Directories In Current Directory
    • Move Files And Directories
    • Rename File
    • See Disk Drive Space
    • Archive And Unarchive Files
    • Change Permissions
    • Changing Directories
    • Check Current Date And Time
    • Create Command
    • Create Directory
    • Create File
    • Create Sequential List Of Files And Directories
    • Create Symbolic Links
    • Exit Terminal Session
    • Get Help With A Command
    • Get Information On A File
    • List Avaliable Commands
    • List The Contents Of A Directory
    • Multiple Commands On One Line
    • Ping Website
    • See Free Memory
    • See Who Is Logged Into A System
    • Select Files Based On Filename
    • Synchronize Files And Directories
    • Track Route Of Network Traffic
    • View A File's Type
    • View A Text File's Contents
    • View Current Working Directory
    • View First And Last Parts Of Files
    • Zip And Unzip Directories
    • Zip And Unzip Files
  • 6.2?环境变量
    • Create Environment Variable
    • View Aliases
    • View Environment Variable
  • 6.3??流程控制
    • For Loops
    • If Else For Integers
    • If Else For Strings
    • If Else With Multiple Conditions
  • 6.4??输入与输出
    • Append Error To File
    • Append File Contents To Another File
    • Append Output To File
    • Append Outputs And Errors To File
    • Chain Multiple Commands
    • Concatenate Multiple Files
    • Save Output To File In Middle Of Command Chain
    • Silence Errors
    • Sort Rows
    • Write Errors To File
    • Write Output To File
  • 6.5??进程
    • List Processes
    • Monitor Processes
  • 6.6??搜索
    • Find Directories
    • Find Files
    • Find Files Based On Multiple Conditions
    • Find Files By Filename
    • Find Files By Size
    • Find Program's Location
    • Find Symbolic Links
    • Search Contents Of All Files Of Certain Type
    • Search Filenames
    • Search The Contents Of A File
  • 6.7??文本
    • Add Columns To Text
    • Count Unique Rows
    • Extract Text
    • Find And Replace
    • Adding Line Numbers
    • Comparing Text Files
    • Join And Sort Text
    • Join Columns
    • Quickly View File Contents
• 深度学习
  • 2.1??Keras
    • Adding Dropout
    • Convolutional Neural Network
    • Feedforward Neural Network For Binary Classification
    • Feedforward Neural Network For Multiclass Classification
    • Feedforward Neural Networks For Regression
    • LSTM Recurrent Neural Network
    • Neural Network Early Stopping
    • Neural Network Weight Regularization
    • Preprocessing Data For Neural Networks
    • Save Model Training Progress
    • Tuning Neural Network Hyperparameters
    • Visualize Loss History
    • Visualize Neural Network Architecutre
    • Visualize Performance History
    • k-Fold Cross-Validating Neural Networks
  • 2.2??Keras
• 正则表达式
  • 7.1?模式
    • Match A Symbol
    • Match A Unicode Character
    • Match A Word
    • Match Any Character
    • Match Any Of A List Of Characters
    • Match Any Of A Series Of Options
    • Match Any Of A Series Of Words
    • Match Dates
    • Match Email Addresses
    • Match Exact Text
    • Match Integers Of Any Length
    • Match Text Between HTML Tags
    • Match Times
    • Match URLs
    • Match US Phone Numbers
    • Match US and UK Spellings
    • Match Words With A Certain Ending
    • Match ZIP Codes
• 书籍推荐
  • 书籍推荐

Navigation : Python 机器学习 数据可视化 Linux - 基础 -- Copy Files And Directories -- Delete Files And Directories -- Delete Files And Directories In Current Directory -- Move Files And Directories -- Rename File -- See Disk Drive Space -- Archive And Unarchive Files -- Change Permissions -- Changing Directories -- Check Current Date And Time -- Create Command -- Create Directory -- Create File -- Create Sequential List Of Files And Directories -- Create Symbolic Links -- Exit Terminal Session -- Get Help With A Command -- Get Information On A File -- List Avaliable Commands -- List The Contents Of A Directory -- Multiple Commands On One Line -- Ping Website -- See Free Memory -- See Who Is Logged Into A System -- Select Files Based On Filename -- Synchronize Files And Directories -- Track Route Of Network Traffic -- View A File's Type -- View A Text File's Contents -- View Current Working Directory -- View First And Last Parts Of Files -- Zip And Unzip Directories -- Zip And Unzip Files - 环境变量 - 流程控制 - 输入与输出 - 进程 - 搜索 - 文本 深度学习 正则表达式 书籍推荐

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