Machine-learning-examples

Some simple machine learning examples. Default parameters are used for all algorithms

Iris dataset

The dataset contains a set of 150 records under 5 attributes - Petal Length , Petal Width , Sepal Length , Sepal width and Class.

https://en.wikipedia.org/wiki/Iris_flower_data_set

Clustering

7 different clustering algorithms with Iris dataset

• K-Means
• Fuzzy C-Means
• Multi-Gaussian with Expectation-Maximization
• Density-based
• Hierarchical
• Self-Organising Maps
• Spectral

R source code: https://www.kaggle.com/coolman/different-clustering-techniques-r

Classification

8 different classification algorithms with Iris dataset

• Decision tree
• RandomForest - Ensemble method
• XGBoost
• SVM (Support Vector Machine) Classifier
• Nearest Neighbors Classifier
• SGD (Stochastic Gradient Descent) classifier
• Gaussian Naive Bayes
• MLP (Multi-layer Perceptron) Neural network

Python Source code: https://www.kaggle.com/coolman/different-classification-techniques-python

Anomaly detection

3 different anomaly detection algorithms with Iris dataset

• DBSCAN
• Isolation Forest
• LocalOutlierFactor

Python Source code: https://www.kaggle.com/coolman/different-anomaly-detection-techniques-python