PredictEasy!
  • ๐Ÿš€PredictEasy
  • Getting Started
  • โ˜๏ธInstallation
  • ๐Ÿ› ๏ธData Preprocessing
    • Label Encoding
    • Log Transform
    • Standard Scaling
    • Replacement
    • Imputation
  • ๐Ÿ“ŠStatistical Test
    • T-Test
    • ANOVA Test
    • Spearmanโ€™s Rank Correlation
    • Pearsonโ€™s Correlation
    • Chi-Squared Test
    • Shapiro-Wilk Test
    • Kruskal-Wallis H Test
    • Friedman Test
  • ๐Ÿ“ถData Modelling
    • Classification
    • Regression
    • Clustering
  • ๐Ÿ”กNLP
    • Sentiment Analysis
  • ๐Ÿ“ˆVisualization Charts
    • Line graph
    • Bar Chart
    • Scatter Chart
    • Area Chart
  • Media
  • ๐Ÿ“ฝ๏ธVideo Tutorials
  • ๐Ÿ—ž๏ธArticles
  • FAQ?
  • ๐Ÿ“žContact
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  1. Data Preprocessing

Imputation

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Last updated 1 year ago

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Imputation refers to the process of replacing missing data with substituted values. The missing data might be filled using different statistical methods such as mean, median, or mode imputation, or even more sophisticated methods like K-nearest neighbors or predictive models to estimate the missing values based on other available information.

Steps to follow:

  1. Choose the column where you want to perform the "Imputation" operation.

  2. Look for the "Imputation" option within PredictEasy.

  3. Select the method of Imputation such as Mean or Median.

  4. Initiate the "Imputation" operation. This action triggers the imputation process.

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