How can I use Jupyter Notebooks for machine learning?

How can I use Jupyter Notebooks for machine learning?

You can use Jupyter Notebooks to write and execute Python code, visualize data, and document your machine learning process.

What libraries should I install for machine learning in Jupyter?

You should install libraries like NumPy, pandas, scikit-learn, and TensorFlow or PyTorch for machine learning.

Can you show me a simple example of a machine learning model in Jupyter?

Sure! You can create a simple linear regression model using scikit-learn. Would you like to see the code?

Yes, please share the code!

Here's a basic example:

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

# Sample data
X = np.array([[1], [2], [3], [4], [5]])
y = np.array([1, 2, 3, 4, 5])

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

# Create and train the model
model = LinearRegression()
model.fit(X_train, y_train)

# Predictions
predictions = model.predict(X_test)
print(predictions)