Conclusion tree algorithm is utilised to fix classification dilemma in machine learning domain. In this tutorial we will solve staff salary prediction dilemma employing choice tree. First we will go about some concept and then do coding exercise. In the conclusion I have a extremely exciting physical exercise for you to fix.
csv file for work out: https://github.com/codebasics/py/blob/grasp/ML/9_final decision_tree/Training/titanic.csv
Work out option: https://github.com/codebasics/py/blob/master/ML/9_final decision_tree/Training/9_choice_tree_training.ipynb
Topics that are included in this Movie:
:00 – How to resolve classification challenge applying conclusion tree algorithm?
:26 – Idea (Explain rationale powering final decision tree working with a use situation of predicting income centered on office, degree and business that a person is working for)
2:10 – How do you pick out buying of features? Substantial vs lower information and facts attain and entropy
3:52 – Gini impurity
4:28 – Coding (start off)
9:11 – Build sklearn design working with DecisionTreeClassifier
13:32 – Physical exercise (Come across out survival fee of titanic ship travellers working with decision tree)
Do you want to learn technological innovation from me? Examine https://codebasics.io/ for my reasonably priced movie classes.
Instruments and Libraries:
Scikit discover tutorials
Sklearn tutorials
Machine learning with scikit understand tutorials
Machine learning with sklearn tutorials
To download csv and code for all tutorials: go to https://github.com/codebasics/py, click on a eco-friendly button to clone or down load the total repository and then go to related folder to get access to that particular file.
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