Data EDA analysis, feature engineering 
Yoyoyoyoyoyo is the best!!
Other mathematical models are well presented in other lectures or books and can be replaced,
but EDA and feature engineering are irreplaceable.
You can learn effectively in a short period of time, so there is no time to get bored.
Thanks to the instructor, I think my perspective has broadened a little.
Thank you!

bigcat0815

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

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

입문

초급

중급이상

Machine Learning(ML)

캐글(Kaggle)

Kaggle

판다스

Pandas

파이썬

Python

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