This story was originally published on HackerNoon at: https://hackernoon.com/starting-simple-the-strategic-advantage-of-baseline-models-in-machine-learning). Starting your ML projects with a baseline model is a strategy that aligns with Agile methodologies promoting efficiency, effectiveness, and adaptability. Check more stories related to machine-learning at: https://hackernoon.com/c/machine-learning). You can also check exclusive content about #artificial-intelligence), #agile-development), #baseline-models), #what-is-a-baseline-model), #machine-learning-for-beginners), #benefits-of-a-baseline-model), #implementing-baseline-models), #ai-explained-for-beginners), and more.
This story was written by: [@kustarev](https://hackernoon.com/u/kustarev)). Learn more about this writer by checking [@kustarev's](https://hackernoon.com/about/kustarev)) about page,
and for more stories, please visit [hackernoon.com](https://hackernoon.com)).
Starting your machine learning projects by introducing a simple baseline model is not just a preliminary step. It is a strategy. A strategy that aligns with Agile methodologies promoting efficiency, effectiveness, and adaptability. It helps to establish benchmarks, maximize value while minimizing waste, provides a simple explanation of the logic behind the model, and allows incremental testing and validation.