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solve this using these libraries import pandas as pd df = pd.read_csv('*enter document*') df.drop(columns=[]) - also creat a model, learn and predict dataset and calculate
solve this using these libraries
import pandas as pd
df = pd.read_csv('*enter document*')
df.drop(columns=[])
- also creat a model, learn and predict dataset and calculate the accuracy
- visualize decision tree
create a ML model
- Write the codes into a Jupyter notebook exactly like the video's trainer does. - Use a different dataset you discover and follow the same procedure as shown in the video. Depending on the characteristics of your dataset, codes may change. This is understandable. Please provide the name of the dataset that you choose. Because each student is required to select a unique dataset clean the dataset
predict and learn
calculate the accuracy
visualize the decision tree
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