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Data Science Simplified

Learning the Machine Learning, in a Human-friendly Way

Statistics

This page provides the links to all the blog posts related to statistical aspects of machine learning.
  • Scales of Measurement - Data types: Nominal, Ordinal, Interval and Ratio scale
  • Handling Missing Values in Python
  • Handling Outliers in Python
  • Confusion Matrix, Accuracy, Precision, Recall, F score explained with an example
  • Data Preprocessing - Creating Dummy Variables and Converting Ordinal Variables to Numbers with Examples
  • Exploratory data analysis
  • Occam's Razor, Bias-Variance Tradeoff, No Free Lunch Theorem and The Curse of Dimensionality
  • Train-Test split and Cross-validation

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Popular Posts

  • Confusion Matrix, Accuracy, Precision, Recall, F score Explained with Intuitive Visual Examples
  • Feature Selection: Filter method, Wrapper method and Embedded method
  • ARIMA/SARIMA with Python: Understand with Real-life Example, Illustrations and Step-by-step Descriptions
  • Demystifying Principal Component Analysis (PCA): A Beginner's Guide with Intuitive Examples & Illustrations
  • Train-Test split and Cross-validation: Visual Illustrations & Examples
  • Components of Time Series: A Beginner's Visual Guide
  • The Chi-Square Test Explained with Examples: A Beginner's Guide
  • Logistic Regression: A Beginner's Visual Guide
  • Support Vector Machines (SVM) Explained with Visual Illustrations
  • Time series Cross-validation and Forecasting Accuracy: Understand with Illustrations & Examples

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      • Timeless Statistical Concepts Every Data Scientist...
      • Non-linear Relationships: When a 0 Pearson Correla...
      • Understanding Confidence Intervals with an Intuiti...
      • Standard Deviation vs Standard Error: Clearing up ...
      • Mastering Central Limit Theorem (CLT) with Intuiti...
      • Demystifying Degrees of Freedom with Visual Exampl...
      • The Chi-Square Test Explained with Examples: A Beg...
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      • A Beginner's Guide to t-tests: Real-life Applicati...
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