I was able to approach concepts that seemed difficult easily. It was very helpful to have a subjective hands-on experience with the Titanic Survivor Project, and it was good to be able to understand each theory. Thank you for the lecture.

irepairsmartphon1824

This is a comprehensive lecture on machine learning. It consists of short and easy-to-understand video lectures based on practical experience.

minsukheo4263

Machine Learning Theory and Python Practice

Minsuk Heo

입문

초급

중급이상

파이썬

Python

Machine Learning(ML)

Preferences

kNN(k-Nearest Neighbors)

Decision Tree

Naive Bayes classification

Linear regression

kmean clustering

Kaggle - Handling real-world data science examples

Overfitting & Underfitting

Norm(L1, L2)

PCA principal component analysis

Confusion Matrix

Measuring the performance of multi-classification models