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Data Science Basic Functions

Project description

License: MIT pypi: v0.0.1 Build: Passing

Data Science Kit - Kitbag

KITBAG is a helpful library where you can find basic data science functions under three main headings. Three main headings are given below. The titles are given below;

  • Measurement Units
    • Arithmetic Mean
    • Geometric Mean
    • Harmonic Mean
    • Median
    • Mode
    • Variance
    • Standart Deviation
    • Find Minimum Value In List
    • Find Maximum Value In List
    • Kurtosis
    • Skewnewss
    • Quantiles
    • Range Of Change
    • Covariance
    • Correlation
  • Exploratory Data Analysis
    • Copy Dataset
    • Show Head & Tail Values
    • Structural Information
    • Variable Types
    • Object To Categorical
    • Observation Values Size
    • Variable Values Size
    • Size Of Dataset
    • Dimension Of DataFrame
    • Dimension Of Series
    • Variable Names Of Dataset
    • Descriptive Statistics Of Dataset
    • Descriptive Statistics Of Numerical Variable
    • Descriptive Statistics Of Categorical Variable
    • Select Categorical Variables
    • Select Numerical Variables
    • Frequency Of Categorical Variables
    • Categorical Variables Percentage Of Dataset
    • Find Unique Categorical Variables
    • Frequency Unique Categorical Variables
    • Measure Operations Of Single Categorical Variables With All Numerical Variables
    • Measure Operations Of Single Categorical Variables Single Numerical Variables
    • Measure Operations Of Multiple Categorical Variables Single Numerical Variables
    • Create And Sort Rank Variables
    • Select Range Row By Index
  • Data Operations
    • Missing Values
      • Is There Any NAN Values
      • Total NAN Values
      • Percentage NAN Values
      • Drop NAN Values In Row
      • Drop NAN Values In Column
      • Fill NAN Values Column
      • Fill NAN Values All Dataset
      • Fil NAN Values KNN
      • Fil NAN Values EM
    • Outlier Values
      • Select Lower Outlier Values - According to the specified Column
      • Select Upper Outlier Values - According to the specified Column
      • Select All Outlier Values - According to the specified Column
      • Delete Outlier Values
      • Fill Mean Value All Outlier Values
      • Fill Suppression Method All Outlier Values
      • Local Outlier Factor
      • Local Outlier Factor Suppression Method
    • Variables Standartization
      • Numerical Variables Standartization
      • Numerical Variables Normalization
      • Numerical Variables Transformation
      • Numerical Variables Binarize
      • Numerical Variables To Categorical Variables
    • Encoding Operations
      • Ordinal Encoder
      • Label Encoder
      • Where Encoder
      • Onehot Encoder

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