Artificial intelligence and Kaggle analysis

Chapter 1 General Rule

Article 1 (Purpose)

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Article 2 (Effect and Change of Terms)

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Article 3 (Regulations other than the Terms and Conditions)

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Chapter 2 Membership sign-up and Service Usage

Article 4 (Usage Contract)

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Article 5 (Application for Use)

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Chapter 3 Cancellation of Contract

Article 9 (Cancellation of Contract)

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Chapter 4 Responsibility

Article 11 (The Obligations of the 'Site')

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Article 12 (Consent on the Use of 'Member' Information)

1. NILE operates various websites in addition to this site. NILE collects member's information for the purpose of providing services of the main site and various subsites operated by NILE, and can use the collected information of members.

2. The 'Site' may be affiliated with various education related associations and business operators for the quality of their services and may share their membership information. In such case, the 'Site' shall disclose the partnership, purpose, and contents to the Terms in this Article and shall be provided to the Affiliates after the consent of 'Member' is obtained.'

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Article 13 (Obligations of Member)

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Article 14 (Member Posts)

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Chapter 5 Information Provision

Article 15 (Information Provision)

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Chapter 6 Exemption from Responsibility and Indemnification

Article 16 (Responsibility)

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Article 17 (Exemption from Responsibility)

'NILE' will not be held responsible for any problems occurred to 'Member if disruption of service is due to natural disasters or unavoidable circumstances.

Article 18 (Competent Court)

The court shall be the court having jurisdiction over the location of the "NILE" or the court under the civil procedure law of the Republic of Korea.

The laws of the Republic of Korea shall apply to the interpretation and application of these Terms and the settlement of any dispute relating to these Terms and Conditions.

Artificial intelligence and Kaggle analysis Ongoing Certificate

#인공지능 #kaggle #데이터_분석
Artificial intelligence and Kaggle analysis
- Field Engineering (Computers & Communication)
  
  Operating Institute Operating Institute Kyungpook National University Go to the operating agency Opens new window
  
  Week Week 15 Week
  
  Course Registration Period Course Registration Period 26.06.01 ~ 26.09.30
  
  Phone Number Phone Number 053-950-4423
  
  Course Satisfaction 4.6
- Difficulty Difficulty -
  
  Certificate Certificate Issuance
  
  Learning recognition time Learning recognition time 15Hour 37Minute (10Hour 04Minute)
  
  Course Duration Course Duration 26.06.01 ~ 26.09.30
  
  Subtitle language 한국어 Others 1ea Subtitle language
  
  Course language 한국어(ko)
Registration of courses of interest

List of participating institutions

Course Introduction

수업내용

이 강의는 인공지능 기술의 기본 개념과 실습을 심도 있게 다루며,
Kaggle 데이터셋을 활용한 데이터 분석 및 머신러닝 기법에 초점을 맞추고자 할 뿐 아니라

데이터 전처리, 탐색적 데이터 분석(EDA), 모델 학습 및 성능 평가와 같은 실질적인 과정을 실습하며,
이를 통해 실무 중심의 데이터 분석 역량을 체계적으로 개발하고자 한다.

따라서 학생들은 본 강의를 통해 Kaggle 데이터셋을 활용한 실제 데이터 분석 프로젝트를 수행하며,
강의에서 습득한 기법을 실제 문제에 적용하여 실질적이고 응용 가능한 데이터 분석 능력을 강화할 수 있다.

학습목표

머신러닝 및 데이터 분석의 기초 개념과 활용 방법을 이해한다.
캐글(Kaggle) 플랫폼에서 제공되는 데이터셋을 활용하여 분석 및 모델링을 수행한다.
탐색적 데이터 분석(EDA) 과정을 통해 데이터의 특성을 파악하고 시각화 기술을 습득한다.
모델의 성능 평가 지표(Evaluation Metrics)를 활용하여 모델의 품질을 분석한다.
실습을 통해 데이터 분석 및 인공지능 기술의 실무적 활용 능력을 향상한다.

Syllabus

주차	주차명(주제)	차시	차시명(학습내용)	평가방법
1	인공지능 개요	1-1	인공지능의 기본 개념과 Kaggle Contest 소개	퀴즈
1	인공지능 개요	1-2	타이타닉 가설 설정과 스프레드시트를 통한 검증 및 실습 과제	퀴즈
2	Google Colab 실행 및 독립변수 설정	2-1	Google Colab에서 Python을 통한 기초 명령 실행	퀴즈
2	Google Colab 실행 및 독립변수 설정	2-2	기계학습 절차에 대한 이해 및 실습	퀴즈
3	기계학습	3-1	기계학습의 활용	퀴즈
3	기계학습	3-2	기계학습 내 복합독립변수 설정 및 활용	퀴즈
4	Python 기초코딩	4-1	Decision Tree의 사용 및 Python 이해	퀴즈
4	Python 기초코딩	4-2	Python의 기초 연산 및 기본 코딩	퀴즈
5	반복문과 제어문	5-1	반복문과 제어문	퀴즈 과제
5	반복문과 제어문	5-2	제어문과 반복문을 활용하는 과제 추가 설명	퀴즈 토론
6	Pandas와 Seaborn 연습	6-1	Pandas의 기본 명령어 및 작동원리	퀴즈
6	Pandas와 Seaborn 연습	6-2	Pandas를 이용한 데이터 전처리	퀴즈 토론
7	복합독립변수 기반 예측	7-1	Seaborn를 통한 데이터 시각화	퀴즈
7	복합독립변수 기반 예측	7-2	기계학습에서 4개 독립변수의 활용	퀴즈
8	결정론과 확률론	8-1	자전거 대여 수요 예측 데이터 특징 Part 1	퀴즈
8	결정론과 확률론	8-2	탐색적 데이터 분석	퀴즈
9	탐색적 데이터 분석	9-1	자전거 수요 예측 데이터 가공	퀴즈
9	탐색적 데이터 분석	9-2	자전거 수요 예측 데이터 시각화	퀴즈 토론
10	Classifier와 Regressor	10-1	Decision Tree Classifier와 Decision Tree Regressor 활용	퀴즈
10	Classifier와 Regressor	10-2	Decision Tree의 원리	퀴즈
11	Random Forest	11-1	Random Forest의 원리	퀴즈
11	Random Forest	11-2	시간 관련 독립변수 설정	퀴즈
12	모델 검증	12-1	Model Validation	퀴즈 토론
12	모델 검증	12-2	Evaluation Metric	퀴즈
13	기계학습 평가지표	13-1	MAE, MSE, RMSE 계산	퀴즈
13	기계학습 평가지표	13-2	지수적 데이터 접근	퀴즈 과제
14	Hyperparameters Tuning	14-1	Hyperparameters Tuning 이론적 배경	퀴즈
14	Hyperparameters Tuning	14-2	Hyperparameters Tuning 시연	퀴즈
15	기말고사	15-1	선다형 검사를 통한 총괄평가

Course Operators

이 름: 김 웅
소 속: 경북대학교 공과대학 환경공학과
전공분야: 공정최적화, 미생물 에너지 공정
주요경력: KAIST 생명화학공학과 근무 (2013.02.01~2015.08.31)
주요연구실적
- M. Govarthanan, and Woong Kim* et al “Facile fabrication of (2D/2D)
MoS2@MIL-88(Fe) interface-driven catalyst for efficient degradation of
organic pollutants under visible light irradiation”Journal of
Hazardous Materials 414, 1-13
(출판년도: 2021, 지원기관: 산업통상자원부)

- Divya Lakshmi, and Woong Kim* et al “Artificial intelligence (AI)
applications in adsorption of heavy metals using modified biochar”,
Science of the Total Environment 801, 1-19
(출판년도: 2021, 지원기관: 산업통상자원부)

- A. Sai Ramesh, and Woong Kim* et al “Artificial intelligence
driven hydrogen and battery technologies – A review”, Fuel 337Z
(출판년도: 2023, 지원기관: 산업통상자원부
이 름:
소 속:
전 공:

Field Engineering (Computers & Communication)

Difficulty Difficulty -

Operating Institute Kyungpook National University Go to the operating agencyOpens new window

Certificate Certificate Issuance

Week Week 15 Week

Learning recognition time Learning recognition time 15Hour 37Minute (10Hour 04Minute)

Course Registration Period Course Registration Period 26.06.01 ~ 26.09.30

Course Duration Course Duration 26.06.01 ~ 26.09.30

Phone Number Phone Number 053-950-4423

Subtitle language 한국어 Others 1ea Subtitle language

Course language 한국어(ko)

Registration of courses of interest

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