Machine Learning (ML) teaches computers patterns in data to make predictions or decisions without being explicitly programmed.

Steps in ML Workflow

• Data Collection
• Data Preprocessing
• Model Training
• Evaluation
• Prediction

Simple Python Example with scikit-learn

from sklearn.linear_model import LinearRegression
import numpy as np

X = np.array([, (see the generated image above), (see the generated image above), (see the generated image above)])
y = np.array()

model = LinearRegression().fit(X, y)
print(model.predict([(see the generated image above)])) # Predicts output

Start exploring ML to solve real-world data problems.