머신러닝 스터디

스터디 목표

• 데이터과학 과제를 해결하는 단계
• 머신러닝 알고리즘과 통계정 속성
• 데이터과학 팀 과제 수행

 

주교재

• Hands on Machine Learning with Scikit-Learn and Tensorflow (Aurelien Geron)
• An Introduction to Statistical Learning with Applications in R (Gareth James)

 

부교재

• The Elements of Statistical Learning (Trevor Hastie)
• 파이썬을 이용한 통계정 머신러닝 (박유성)

 

CURRICULUM

• ~ : (Preview) Read Books and Resources
• Mon: In-Depth Explanation
• ~ : Group Projects and Homework
• Group Project Presentation

7주차 커리큘럼
1주차	Data Visualization and EDA
2주차	Regression and Classification
3주차	Model Fitting and Validation
4주차	Regularization
5주차	Decision Trees and SVM
6주차	Ensemble
7주차	Neural Networks