How can I get started with machine learning using Jupyter?

How can I get started with machine learning using Jupyter?

To start with machine learning in Jupyter, first install Jupyter Notebook and necessary libraries like NumPy and pandas.

What libraries should I focus on for machine learning?

Key libraries include Scikit-learn for algorithms, TensorFlow or PyTorch for deep learning, and Matplotlib for visualization.

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 a code snippet?

Yes, please provide the code snippet!

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)