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gracejhlim7176

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