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Inferential Statistics
01 Descriptive Statistics 5
Measures of Central Tendency Spread and Outliers Exploratory Data Analysis (EDA) Review & Cheat Sheet
03 Estimation Theory 5
Maximum Likelihood & MAP Estimation The Bias-Variance Tradeoff Method of Moments Module Review: Estimation Theory
04 Regression Analysis 1
05 Non-Parametric Methods 5
Bootstrap Method Kernel Density Estimation Rank-Based Statistics Module Review: Non-Parametric Methods
Statistics for ML 1
Courses / statistics

Non-Parametric Methods

05 Non-Parametric Methods Last updated: Feb 27, 2026

Non-Parametric Methods

Module Contents

1. Bootstrap Method

2. Kernel Density

3. Ranking Stat

Review & Cheat Sheet

Module Chapters

Chapter 01

Bootstrap Method

Bootstrap Method

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Chapter 02

Kernel Density Estimation

Kernel Density Estimation (KDE)

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Chapter 03

Rank-Based Statistics

Rank-Based Statistics

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Chapter 04

Module Review: Non-Parametric Methods

Module Review: Non-Parametric Methods

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