HOL Decision Analytics
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Overview

  • Introduction
  • Panduan Instalasi

Session 01

  • Basic Concepts
  • Dependent and Independent Variabel
  • Data Visualization
  • Pivot Table

Session 02

  • Probabilistic Distribution
  • Probabilistic Reasoning

Session 03

  • Linear Regression Concept
  • Visualisasi Linear Regression (Simple)
  • Visualisasi Linear Regression (Simple)

Session 04

  • Time Series Analysis
  • Exponential Smoothing
  • Centered Moving Average

Session 06

  • Introduction to Rapid Miner
  • Missing Values Handling
  • Attribute Operators
  • Import and Export

Session 07

  • Data Transformation

Session 08

  • Naive Bayes
  • Implementasi Naive Bayes

Session 09

  • K-Nearest Neighbors (kNN)
  • Implementasi k-Nearest Neighbors

Session 10

  • K-Means (Clustering)
  • Implementasi K-Means
  • Variable Analysis
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