Intro to Data Science
  • Home
  • Introduction
    • Overview
    • Two Cultures
    • Causal Inference
  • Python Basics
    • Python Setup
    • NumPy & pandas
    • Data Inspection
    • Subsetting
  • EDA
    • Visualize
    • Explore
    • Wrangling
  • Linear Models
    • Model Basics
    • Implementations
    • Regression Analysis
  • ML Basics
    • Introduction
    • Regularization
    • Implementations
    • K-Nearest Neighbors
  • Classification
    • Logistic Regression
    • Generative Models
  • Trees

설문

  • Welcome

  • Introduction
    • Overview
    • Two Cultures
    • Causal Inference

  • Python Basics
    • Python Setup
    • NumPy & pandas
    • Data Inspection
    • Subsetting

  • Exploratory Data Analysis
    • Visualize
    • Explore
    • Wrangling

  • Linear Models
    • Model Basics
      • Implementations
    • Regression Analysis

  • Machine Learning Basics
    • Introduction
    • Regularization
      • Implementations
    • K-Nearest Neighbors
  • Classification
    • Logistic Regression
    • Generative Models
  • Tree-based Models

  • Communicate
    • Ask

설문

동국대 융합교육원, 데이터 사이언스 개론, 2024 1학기

Author

Sungkyun Cho

Published

March 15, 2024

설문 링크

This work © 2024 by Sungkyun Cho is licensed under CC BY-NC-SA 4.0