Artificial Intelligence Programming With Python From Zero To Hero Pdf Free 💯 Simple

AI is 90% data preparation, 10% modeling. You must master:

Machine learning is a crucial aspect of AI programming. Here's an example of a simple machine learning algorithm using scikit-learn: AI is 90% data preparation, 10% modeling

from sklearn.datasets import load_iris
from sklearn.model_selection import train_test_split
from sklearn.linear_model import LogisticRegression
# Load the iris dataset
iris = load_iris()
X = iris.data
y = iris.target
# 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)
# Create a logistic regression model
model = LogisticRegression()
# Train the model
model.fit(X_train, y_train)
# Evaluate the model
accuracy = model.score(X_test, y_test)
print("Accuracy:", accuracy)

AI programmers are debuggers, not typists. AI programmers are debuggers, not typists

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