could not convert string to float: 'Runny_nose'

Question

import pandas as pd
from sklearn.tree import DecisionTreeClassifier

Disease_data = pd.read_csv("Disease_dataset.csv")

X = Disease_data.drop(columns='Diseases')
y = Disease_data['Diseases']

model = DecisionTreeClassifier() 
model.fit(X, y)

I get this error:

ValueError: could not convert string to float: 'Runny_nose'

I tried

Disease_data = Disease_data['Diseases'].astype(float)

and

music_data = pd.to_numeric(music_data, errors='coerce')

instead I get empty columns

Answer 1

Some of your lines might don't have valid float data.

Visit this thread for more info.