-
https://github.com/amueller/introduction_to_ml_with_python/blob/master/01-introduction.ipynb
-
make login id at www.kaggle.com and examine the data at https://www.kaggle.com/uciml/iris
- python data visualization/exploration: https://www.kaggle.com/benhamner/python-data-visualizations
-
Do plotting of your own based on the notebooks in kaggle.com
- examine the distribution of the data
-
What is your answer for the following question?
Question:
- Write your own method to separate
Iris-setosa
from others?- Explain Verbally & Visually. You don't have to be mathematical!
- Make a rule based on your (magnified) inspection on the visualization of the data distribution.
- What is your idea of separating out 'Iris-verginica' from others?
- Write down the rules of your invention. Enumerate the the rules sequentially.
- From your theory, what is the species for the data [sl, sw, pl, pw] = [5.1, 3.5, 4.1, 1.55] ?
- Write your own method to separate
- https://scikit-learn.org/stable/auto_examples/datasets/plot_iris_dataset.html
- https://machinelearningmastery.com/machine-learning-in-python-step-by-step/
- https://www.kaggle.com/chungyehwang/scikit-learn-classifiers-on-iris-dataset
- https://en.wikipedia.org/wiki/Decision_tree_learning
- https://en.wikipedia.org/wiki/Predictive_analytics
- https://scikit-learn.org/stable/modules/tree.html
- Information Theory (entropy, Gini)
- Tree Data Structure