ML_Projects

Here All the ML Projects

List of Machine Learning Algorithms which is used in ML_projects but which algorithms is apply it's always depend on the datasets:

    1. Linear Regression (regression type problem)
    2. Logistic Regression (classification , regression)
    3. Decision Tree (classification , regression)
    4. SVM (classification , regression)
    5. Naive Bayes (we can used for classification type but not used in regression type because badly worked there... also most used in NLP)
    6. kNN (classification , regression)
    7. K-Means (classification type problem)
    8. Random Forest (classification , regression)
    9. Dimensionality Reduction Algorithms eg. PCA (regression type problem)
    10. Gradient Boosting algorithms :
            a) GBM (classification , regression)
            b) XGBoost (classification , regression)
            c) LightGBM (classification , regression)
            d) CatBoost (regression, classification, multi-class classification and ranking type probelm)

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