How can I implement machine learning in Jupyter Notebook?

How can I implement machine learning in Jupyter Notebook?

You can implement machine learning in Jupyter Notebook by using libraries like Scikit-learn, TensorFlow, or PyTorch. Would you like a specific example?

Yes, can you show me a simple example using Scikit-learn?

Sure! First, install Scikit-learn using pip install scikit-learn. Then, you can load a dataset and train a model. For example, using the Iris dataset:

What does the code look like for that?

Here's a simple code snippet:

from sklearn import datasets
from sklearn.model_selection import train_test_split
from sklearn.ensemble import RandomForestClassifier

# Load dataset
iris = datasets.load_iris()
X = iris.data
y = iris.target

# Split the dataset
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)