π€Mahine Learning
1.ML Intro
ML Intro(μ‘λ€ν κ²λ€)
2023λ
3μ 13μΌ
2.[ML] Iris Dataset - Decision Tree
[ML] Iris Dataset - Decision Tree
2023λ
3μ 14μΌ
3.[ML] Titanic: Survivor Prediction
[ML] Titanic: Survivor Prediction
2023λ
3μ 16μΌ
4.[ML] Scikit Learn : Preprocessing Module
[ML] Scikit Learn : Preprocessing Module
2023λ
3μ 16μΌ
5.[ML] Wine Dataset - Decision Tree
[ML] Wind Dataset - Decision Tree
2023λ
3μ 17μΌ
6.[ML] Scikit Learn : Pipeline
[ML] Scikit Learn : Pipeline
2023λ
3μ 17μΌ
7.[ML] Hyperparameter Tuning
[ML] Hyperparameter Tuning
2023λ
3μ 18μΌ
8.[ML] Model Evaluation
[ML] Model Evaluation
2023λ
3μ 18μΌ
9.[ML] Basic of Regression
[ML] Basic of Regression
2023λ
3μ 19μΌ
10.[ML] Cost Function : Regression
[ML] Cost Function : Regression
2023λ
3μ 19μΌ
11.[ML] Logistic Regression
[ML] Logistic Regression
2023λ
3μ 20μΌ
12.[ML] Precision and Recall
[ML] Precision and Recall
2023λ
3μ 21μΌ
13.[ML] Boosting Algorithm - GBM, XGBoostm LightGBM
[ML] Boosting Algorithm - GBM, XGBoost, LightGBM
2023λ
3μ 22μΌ