dipta007's Second 🧠

    Handling Outliers

    [!question] How to find Outliers?

    1. Using standard deviation if the data is normally distributed
    1. Using Z-score
    2. Using Box Plot
    3. Using Interquartile Range (IQR)
    4. Using Quintile or Percentile
    5. Algorithms to detect outliers

    [!def] Machine Learning algorithms Sensitive to outliers

    1. Linear Regression
    2. Logistic Regression
    3. Support Vector Machine (SVM) (Hard Margin)
    4. K-nearest Neighbor (KNN)
    5. K-means Clustering
    6. Hierarchical Clustering
    7. Principal Component Analysis (PCA)

    [!def] Machine Learning algorithms NOT Sensitive to outliers

    1. Decision Tree
    2. Random Forest
    3. Support Vector Machine (SVM) (Soft Margin in SVM)
    4. XGBoost
    5. AdaBoost
    6. Naive Bayes

    Todo:

    1. how the algorithms handle outliers