Data Mining & Machine Learning with R 교육 과정

Course Code

dmmlr

Duration

14 hours (usually 2 days including breaks)

Requirements

This course is part of the Data Scientist skill set (Domain: Analytical Techniques and Methods)

Overview

R은 통계 컴퓨팅, 데이터 분석 및 그래픽을위한 오픈 소스 무료 프로그래밍 언어입니다 R은 기업 및 학계의 관리자 및 데이터 분석가가 점점 더 많이 사용되고 있습니다 R에는 데이터 마이닝을위한 다양한 패키지가 있습니다 .

Machine Translated

Course Outline

Introduction to Data mining and Machine Learning

  • Statistical learning vs. Machine learning
  • Iteration and evaluation
  • Bias-Variance trade-off

Regression

  • Linear regression
  • Generalizations and Nonlinearity
  • Exercises

Classification

  • Bayesian refresher
  • Naive Bayes
  • Dicriminant analysis
  • Logistic regression
  • K-Nearest neighbors
  • Support Vector Machines
  • Neural networks
  • Decision trees
  • Exercises

Cross-validation and Resampling

  • Cross-validation approaches
  • Bootstrap
  • Exercises

Unsupervised Learning

  • K-means clustering
  • Examples
  • Challenges of unsupervised learning and beyond K-means

Advanced topics

  • Ensemble models
  • Mixed models
  • Boosting
  • Examples

Multidimensional reduction

  • Factor Analysis
  • Principal Component Analysis
  • Examples

회원 평가

★★★★★
★★★★★

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