How can I integrate Scikit-learn with other libraries?

How can I integrate Scikit-learn with other libraries?

You can integrate Scikit-learn with libraries like Pandas for data manipulation, Matplotlib for visualization, and NumPy for numerical operations.

Can you give me an example of using Scikit-learn with Pandas?

Sure! You can use Pandas to load your dataset and then use Scikit-learn to train a model. For example:

import pandas as pd
from sklearn.model_selection import train_test_split
from sklearn.ensemble import RandomForestClassifier

# Load dataset
data = pd.read_csv('data.csv')
X = data.drop('target', axis=1)
y = data['target']

# Split the data
X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2)

# Train the model
model = RandomForestClassifier()
model.fit(X_train, y_train)

What about visualizing the results with Matplotlib?

You can visualize the results by plotting the predictions. Here's an example:

import matplotlib.pyplot as plt

# Predict
predictions = model.predict(X_test)

# Plot
plt.scatter(y_test, predictions)
plt.xlabel('True Values')
plt.ylabel('Predictions')
plt.title('True vs Predicted Values')
plt.show()