Discover the basics of machine learning using Python and popular libraries like scikit-learn. We’ll walk through a simple classification example.

Setting Up Your Environment

pip install numpy pandas scikit-learn matplotlib

Loading and Preparing Data

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

# Load data
data = pd.read_csv('dataset.csv')

# Split features and target
X = data.drop('target', axis=1)
y = data['target']

# Split into training and testing sets
X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2)