Snips & Tips
Snips & Tips
  • Snips & Tips
  • 📊Data Science
    • Time Series Forecasting
      • Hierarchical Time Series Forecasting
      • Facebook Prophet
      • Misc
    • Backpropagation in Deep Learning
    • Debugging ML Models
    • Polars Dataframe Library
    • Loading large data
    • Handling Imbalanced Dataset
    • Feature Engineering
      • Time Series
      • Outlier Detection
      • Categorical Encoding
      • Feature Scaling
    • Pandas
      • Pandas Apply Function
    • Apache Spark
      • Custom Transformer
    • Data Visualizations
    • Jupyter Notebooks
      • Jupyter Notebook Structure
    • Handling high dimensionality data
      • Weight of evidence and Information value
    • Probability
    • Statistics
      • Statistical Tests
      • Z - Test
      • Hypothesis Testing
    • SQL
      • SQL Tips
      • Creating new columns
  • 🔖Machine Learning
    • Page 1
  • 🐲DSA
    • Arrays
  • 🖥️WEB DEV
    • Typescript
    • React State Management
    • Redux Boilerplate
    • Intercept a HTTP request or response
    • this keyword
    • Array Methods
    • Throttle Debounce
    • Media Queries
    • React Typeahead Search
  • 💻Product Analytics
    • Product Sense
    • Customer Segmentation
  • 🖥️Terminal
    • Terminal Commands
    • Jupyter Notebook 2 HTML
  • 🪛Tools and Libraries
    • Web Based
    • Databases
  • 🚟Backend
    • Fast API CRUD
    • Scalable APIs
  • 💸Quant Finance
    • Misc
    • Factor Investing
  • 🎮Game Dev
    • Misc
  • 🛠️Architecture
    • Docker
    • AWS CDK
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  1. Data Science

Handling Imbalanced Dataset

Undersampling

Oversampling

  • Artificial or Synthetic points

  • SMOTE Oversampling

Algo

  • cost sensitive logistic regression

  • cost sensitive decision tree

  • cost sensitive svm

PreviousLoading large dataNextFeature Engineering

Last updated 1 year ago

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📊
  • Undersampling
  • Oversampling
  • Algo