What Are The 7 Steps Of Machine Learning?

Step 1 - Define the Problem

– Clearly define the problem you want to solve. – Identify the goal and objectives of the machine learning project.

Step 2 - Data Collection

– Gather relevant data for your problem. – Ensure data quality and completeness.

Step 4 - Feature Engineering

– Select and engineer relevant features. – Transform data for optimal model performance.

Step 5 - Model Selection

– Choose the appropriate machine learning model. – Consider the problem type and data characteristics.

Step 6 - Model Training

– Applying the training data, train your selected model. – Optimize model parameters for performance.

Step 7 - Model Evaluation

– Evaluate model performance using test data. – Assess metrics like accuracy, precision, recall.

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