1. NumPy
pip install numpy
python
import numpy as np
arr1 = np.array([1, 2, 3, 4, 5])
print(arr1)
arr2 = np.array([[1, 2, 3], [4, 5, 6]])
print(arr2)
arr3 = np.dot(arr2, arr1)
print(arr3)
2. Pandas
pip install pandas
python
import pandas as pd
data = {'Name': ['Alice', 'Bob', 'Charlie', 'David'],
'Age': [25, 30, 28, 33],
'City': ['New York', 'London', 'Paris', 'Tokyo']}
df = pd.DataFrame(data)
print(df)
average_age = df['Age'].mean()
print(average_age)
3. Scikit-learn
pip install scikit-learn
python
from sklearn import datasets
from sklearn.model_selection import train_test_split
from sklearn.neighbors import KNeighborsClassifier
from sklearn.metrics import accuracy_score
iris = datasets.load_iris()
X_train, X_test, y_train, y_test = train_test_split(iris.data, iris.target, test_size=0.2, random_state=42)
knn = KNeighborsClassifier()
knn.fit(X_train, y_train)
y_pred = knn.predict(X_test)
accuracy = accuracy_score(y_test, y_pred)
print(accuracy)
