In this video, I have discussed the Life cycle of the Machine Learning Project. The machine learning life cycle is a cyclic process to build an efficient machine learning project. The main purpose of the life cycle is to find a solution to the problem. It consists of 8 different steps present in the life cycle of machine learning project development.
Life Cycle of Machine Learning Project Development | Machine Learning Life Cycle | Machine Learning
#machinelearninglifecycle #machinelearning #datacollection #datawrangling
The 8 steps followed in the life cycle of Machine Learning Project Development are Data Collection, Data Preparation, Data wrangling, Data Analysis, Training, Testing, Deployment, and Monitoring.
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