The Sparks Foundation Data Science and Business Analytics TASK 6: Prediction using decision tree algorithm.
I am implementing Decision Tree for Iris dataset.
This is one of the task as part of the internship curriculum.
Decision Trees are used to build a model which predicts the labels for each example.
Steps to be followed.
- Download the ipython file and import the required softwares.
Building any ML model has the following similar sort of steps:
- Import all the required libraries.
- Collect the data and perform the EDA(Exploratory data analysis)to know about the dataset(s).
- Do the feature-engineering processes to bring the data into proper and useful shape.
- Create a model and pass the data.
- Evaluate the models prediction using suitable matric(s).