최대한 이해하기 쉽게 설명해 주시려고 하고 처음 입문하는 입장에서 유용한 강의인 것 같습니다.

다만 좀 지루합니다.. '백문이 불여일타'인데 다른 강의들 처럼 코드를 직접 치면서 수강자도 코드를 따라치고 손에 익히는 부분이 있었으면 더 좋았을 거 같네요

while_ true_effort

강사가 처음 머신러닝을 익혔을 때, 실패했던 경험을 바탕으로, 쉽게 머신러닝을 이해하고, 실제 문제에 적용할 수 있도록 기존 강의와 다르게, 새롭게 꾸민 강의입니다

잔재미코딩 DaveLee

[리뉴얼] 처음하는 파이썬 머신러닝 부트캠프 (쉽게! 실제 캐글 문제 풀며 정리하기) [데이터분석/과학 Part2]

Based on the instructor's own failed experiences when first learning machine learning, this is a newly designed course that differs from existing lectures, making it easy to understand machine learning and apply it to real-world problems

funcoding

입문

초급

중급이상

Machine Learning(ML)

캐글(Kaggle)

Kaggle

판다스

Pandas

파이썬

Python

[Renewed] Python Machine Learning Bootcamp for Beginners (Easy! Learn by Solving Real Kaggle Problems) [Data Analysis/Science Part2]

Introduction to Lecture and Course Curriculum

Class preparation

Starting Data Science with Background Knowledge

Getting Started with Machine Learning Basics by Solving Real Problems (EDA)

Getting Started with Machine Learning Basics by Solving Real Problems (Feature Engineering)

Understanding Classification Machine Learning Techniques

Evaluating and Tuning Machine Learning Performance

Learning Machine Learning by Improving Classification Accuracy Through Different Approaches

Learning by Applying Machine Learning Regression Models

Learning by Applying Machine Learning Clustering Models

Outro and Future Learning Progress Guide