# MACHINE LEARNING

- [Learning Algorythm Types](https://digitalgarden.batamladen.com/notes/machine-learning/learning-algorythm-types.md)
- [Supervised ML](https://digitalgarden.batamladen.com/notes/machine-learning/learning-algorythm-types/supervised-ml.md)
- [Linear Regression](https://digitalgarden.batamladen.com/notes/machine-learning/learning-algorythm-types/supervised-ml/linear-regression.md)
- [KNN](https://digitalgarden.batamladen.com/notes/machine-learning/learning-algorythm-types/supervised-ml/knn.md)
- [Decision Tree](https://digitalgarden.batamladen.com/notes/machine-learning/learning-algorythm-types/supervised-ml/decision-tree.md)
- [Random Forest](https://digitalgarden.batamladen.com/notes/machine-learning/learning-algorythm-types/supervised-ml/random-forest.md)
- [Support Vector Machine](https://digitalgarden.batamladen.com/notes/machine-learning/learning-algorythm-types/supervised-ml/support-vector-machine.md): Feature: supervised ; Common use: classification ; Output: class label ; Key Parameters: C(regularization), kernel, gamma
- [SVC](https://digitalgarden.batamladen.com/notes/machine-learning/learning-algorythm-types/supervised-ml/support-vector-machine/svc.md)
- [Linear Kernel](https://digitalgarden.batamladen.com/notes/machine-learning/learning-algorythm-types/supervised-ml/support-vector-machine/svc/linear-kernel.md)
- [Polynomial kernel](https://digitalgarden.batamladen.com/notes/machine-learning/learning-algorythm-types/supervised-ml/support-vector-machine/svc/polynomial-kernel.md)
- [RBF kernel](https://digitalgarden.batamladen.com/notes/machine-learning/learning-algorythm-types/supervised-ml/support-vector-machine/svc/rbf-kernel.md)
- [Unsupervised ML](https://digitalgarden.batamladen.com/notes/machine-learning/learning-algorythm-types/unsupervised-ml.md)
- [Isolation Forest](https://digitalgarden.batamladen.com/notes/machine-learning/learning-algorythm-types/unsupervised-ml/isolation-forest.md): Anomaly Detection Algorithm
- [DBscan](https://digitalgarden.batamladen.com/notes/machine-learning/learning-algorythm-types/unsupervised-ml/dbscan.md): Clustering Algorithm
- [Data Exploration](https://digitalgarden.batamladen.com/notes/machine-learning/data-exploration.md)
- [Data Pre-Processing](https://digitalgarden.batamladen.com/notes/machine-learning/data-pre-processing.md)
- [Training & Testing Data](https://digitalgarden.batamladen.com/notes/machine-learning/training-and-testing-data.md)
- [Train-Test Split](https://digitalgarden.batamladen.com/notes/machine-learning/training-and-testing-data/train-test-split.md)
- [Cross Validation](https://digitalgarden.batamladen.com/notes/machine-learning/training-and-testing-data/cross-validation.md)
- [K-Fold Cross Val](https://digitalgarden.batamladen.com/notes/machine-learning/training-and-testing-data/cross-validation/k-fold-cross-val.md)
- [Feature engineering](https://digitalgarden.batamladen.com/notes/machine-learning/feature-engineering.md)
- [Feeature Selection](https://digitalgarden.batamladen.com/notes/machine-learning/feature-engineering/feeature-selection.md)
- [SelectKBest](https://digitalgarden.batamladen.com/notes/machine-learning/feature-engineering/feeature-selection/selectkbest.md)
- [Feature extraction](https://digitalgarden.batamladen.com/notes/machine-learning/feature-engineering/feature-extraction.md)
- [TF-IDF](https://digitalgarden.batamladen.com/notes/machine-learning/feature-engineering/feature-extraction/tf-idf.md)
- [Feature Scaling](https://digitalgarden.batamladen.com/notes/machine-learning/feature-engineering/feature-scaling.md)
- [Normalization](https://digitalgarden.batamladen.com/notes/machine-learning/feature-engineering/feature-scaling/normalization.md)
- [Standardization](https://digitalgarden.batamladen.com/notes/machine-learning/feature-engineering/feature-scaling/standardization.md)
- [Standard Scaler](https://digitalgarden.batamladen.com/notes/machine-learning/feature-engineering/feature-scaling/standardization/standard-scaler.md)
- [Normalization vs Standardizatio](https://digitalgarden.batamladen.com/notes/machine-learning/feature-engineering/feature-scaling/normalization-vs-standardizatio.md)
- [ML techniques](https://digitalgarden.batamladen.com/notes/machine-learning/ml-techniques.md)
- [Anomaly Detection](https://digitalgarden.batamladen.com/notes/machine-learning/anomaly-detection.md)
- [Classification Raport](https://digitalgarden.batamladen.com/notes/machine-learning/classification-raport.md)


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