I think this is a good lecture for those who want to study machine learning or are currently studying it. It explains the key points step by step so that you can build a good foundation. If you have a machine learning book, I think you will understand it more deeply if you take this class, organize the concepts, and then read the book. Thank you for the great lecture!!

noh4990632105

Unlike existing lectures, this course has been newly designed based on the instructor's initial failures in learning machine learning, enabling easy understanding and application to real-world problems.

funcoding

인프런 10주년! 사랑주간 깜짝 연장 할인

[Renewal] First-time Python Machine Learning Bootcamp (Easy! Solving Real Kaggle Problems) [Data Analysis/Science Part2]

Yes. Machine learning is sometimes so deep that it's hard to focus and go step by step. I think it would be more helpful if you look at it with various materials such as books. Thank you for your good review. I hope you had a good experience through this lecture.

입문

초급

중급이상

Machine Learning(ML)

캐글(Kaggle)

Kaggle

판다스

Pandas

파이썬

Python

Introduction to Lecture and Class Procedures

Class preparation

Getting Started with Data Science as 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 Methods

Learning by Applying Machine Learning Regression Models

Learning by Applying Machine Learning Clustering Models

Outro and Future Learning Progress Guide