Melih Akay 🦾

        • Adjoint Matrix
        • Adjugate Matrix
        • Analysis of Variances
        • Block matrix
        • Cofactor Matrix
        • Complex Conjugate
        • Complex Numbers
        • Conjugate Matrix
        • Definite matrix
        • Descriptive Statistics
        • Determinant
        • Diagonal Matrix
        • Differential Equations
        • Distance
        • Dummy encoding
        • Eigendecomposition
        • Eigenvalues
        • Eigenvectors
        • Encoding categorical variables
        • Euclidean Distance
        • Expected Value
        • Generalized inverse
        • Hungarian Algorithm
        • Idempotent matrix
        • Inertial Measurement Unit
        • Inverse of a matrix
        • Invertibility of a matrix
        • Limit and Continuity of Functions with Several Variables
        • Linear Algebra
        • Linear independence
        • Linear Models
        • Linear Regression Model
        • Linearity
        • Mahalanobis Distance
        • Matrix
        • Minor of a Matrix
        • Modulus of a complex number
        • Multivariate Analysis
        • Multivariate normal distribution
        • Non-parametric Statistics
        • Normal Matrix
        • One-hat encoding
        • Ordinary differential equation
        • Orthogonal matrix
        • Partial differential equation
        • Pearson correlation coefficient
        • Power of a matrix
        • Probability Distribution
        • Quadratic form
        • Rank of matrix
        • Removing outliers
        • Repicrocal of a complex number
        • Scaling the data
        • Simple Linear Regression
        • Singular matrix
        • Skew symmetric matrix
        • Spectral Decomposition
        • Square Matrix
        • Statistic
        • Statistical Design of Experiments
        • Statistical Inference
        • Symmetric matrix
        • Topology
        • Trace of a matrix
        • Variance & Covariance
          • Data Parallelism, How to Train Deep Learning Models on Multiple GPU's
          • Fundamentals of Deep Learning
        • Numerically Stable Dynamic Bicycle Model for Discrete-time Control
            • Autonomous Checklist
            • Autonomous Mission Indicator
            • Autonomous System Brake
            • Autonomous System Master Switch
            • Autonomous System Status Indicator
            • Data Logger
            • Electronical Control Unit
            • Emergency Brake System
            • Ready to Drive
            • Remote Emergency System
            • Sensors
            • Shutdown Circuit
            • System Critical Signal
          • Formula Student
          • Formula Student Driverless
          • METU Formula Racing
          • Wheelie Roadmap
          • Wheelie: An End-to-End Autonomous Racing Framework for Formula Student Driverless Competition
          • KOBOT
          • Dealing with missing values
          • How to select the device in PyTorch
          • learnpytorch.io
          • NovoGrad Optimizer
          • PyTorch
          • PyTorch Fundamentals
          • PyTorch Tensors
        • Adaptive ASHA Searcher
        • Determined.AI Hyperparameter Tuning
        • DeterminedAI
        • DevrimCAN Structure
        • Foxglove CLI
        • How to clear Jupyter kernel?
        • How to flash Jetson AGX Xavier
        • How to install onnxruntime_gpu Jetson
        • How to install REALTEK RTL88x2B USB Linux Driver
        • Hyperparameter Tuning
        • MCAP CLI
        • Object Oriented Programming with Java
        • Obsidian
        • Obsidian Callouts
        • pd.cut()
        • Quartz

    Recent writing

    • Wheelie Roadmap

      Oct 31, 2025

      • wheelie
      • formula-student-driverless
    • Invertibility of a matrix

      Oct 31, 2025

      • linear-algebra
      • mathematics
    • About me

      Oct 31, 2025

      Home

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      Encoding categorical variables

      Encoding categorical variables

      Oct 31, 20251 min read

      • statistics

      One may use:

      • One-hat encoding
      • Dummy encoding

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