ml-classification-exercise

An exercise repository for classification with iris dataset. Script 1 analyses the data, script 2 is a trial of various classification algorithms one at a time, script 3 compares more classification algorithms at the same time also through whisker plots. I also gave tpot library a quick try to obtain a ml pipeline via a genetic algorithm.

Name		Name	Last commit message	Last commit date
Latest commit History 15 Commits
TPOT		TPOT
algorithms-comparison		algorithms-comparison
learning-curves		learning-curves
plots		plots
.gitignore		.gitignore
1analyse_data.py		1analyse_data.py
2try_classification.py		2try_classification.py
2z_learning_curves.py		2z_learning_curves.py
3final_kfoldcv_classification.py		3final_kfoldcv_classification.py
README.md		README.md
data-iris.csv		data-iris.csv
evaluate.py		evaluate.py
iris-data-scatter.png		iris-data-scatter.png
iris-scatterplot-matrix.png		iris-scatterplot-matrix.png
iris_dataset_heatmap.png		iris_dataset_heatmap.png
iris_type_histogram.png		iris_type_histogram.png
plot_metrics.py		plot_metrics.py
requirements.txt		requirements.txt

mdepasquale21/ml-classification-exercise

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