Machine Learning (ML) stands at the forefront, revolutionizing the way we perceive and interact with data. The journey of conceptualizing and implementing an ML model is complex and has different phases. The following table delves into the various stages of the ML Life cycle.

Conclusion

The Machine Learning lifecycle is a fascinating journey that transforms data into actionable insights. Machine learning demands a deep understanding of the domain and the data that is involved in the ML Life cycle that would give out the ML model as the end result. The true potential of ML can be harness by mastering the ML lifecycle, business and data which would pave the way for innovation and growth.