Create your Python scripts Using ChatGPT.

Description

To write Python scripts Using ChatGPT, Here is a chatGPT  prompt template

Develop a Python script that generates [enter your idea].

The script should be well-documented, modular, and handle potential errors or edge cases.

Sample Prompt:

Develop a Python script that generates  House Price Prediction

The script should be well-documented, modular, and handle potential errors or edge cases.

Sample Response:

Here’s a Python script for House Price Prediction. This script is designed to use a machine learning model to predict the price of a house based on a set of input features.

import pandas as pd
import numpy as np
from sklearn.model_selection import train_test_split
from sklearn.linear_model import LinearRegression

# Load the data into a pandas dataframe
data = pd.read_csv(‘house_prices.csv’)

# Define the input features (X) and the target variable (y)
X = data.drop(‘price’, axis=1)
y = data[‘price’]

# Split the data into training and testing sets
X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)

# Fit a linear regression model to the training data
model = LinearRegression()
model.fit(X_train, y_train)

# Predict the prices of the houses in the test set
y_pred = model.predict(X_test)

# Calculate the root mean squared error (RMSE) of the model
rmse = np.sqrt(np.mean((y_pred – y_test)**2))

print(f”Root Mean Squared Error: {rmse}”)