Complete Decision Trees for data mining and present your data mining process using Jupyter Notebook. The codes used in this assignment need to work and be explained. Format your Jupyter notebook to make it appropriate for your presentation. Using the data provided, create a Decision Trees model. Use Python computer programming to build the Decision Trees model. The steps you are following to create the Decision Trees model should include:
Data: Use data decisiontree_Data (See the attached)
- Import the data files into new data frames.
- Create the predictors
- Creating the target variable
- Obtaining the data set for decision trees
- Splitting the data into training and testing data sets
- Decision Trees for Classification using the DecisionTreeClassifier
- Visualize Decision Trees for Classification
- Make a forecast/prediction
- Performance analysis
- Discuss as a group your decision tree findings and recommendations for use. Summarize your group discussion, including where team members may have disagreed.
- Discuss as a group how decision tree tools can be used by different organizations and how valuable each team member found this tool to be. Conclude with a summary of this group discussion in your presentation, including where team members may have disagreed.
Requirements: whatever needs to be done
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