An Introduction to Machine Learning

A decision tree is the simplest tree-based machine learning algorithm. This model allows us to continuously split the dataset based on specific parameters until a final decision is made. Decision trees split on different nodes until an outcome is obtained.

• Step 1: Data collection. The first step in the machine learning process is data collection.
• Step 2: Data preprocessing.
• Step 3: Choosing the right model.
• Step 4: Training the model.
• Step 5: Evaluating the model.
• Step 6: Hyperparameter tuning and optimization.
• Step 7: Predictions and deployment.