Machine Learning Workflow
Develop an understanding of the machine learning protocol, which encompasses the entire process from data preparation and model training to the dissemination of results to the organization.
Description for Machine Learning Workflow
Dataset Acquisition and Preparation: Acquire the knowledge necessary to collect and prepare datasets for the purpose of training and testing machine learning models.
Insights from Data Analysis: Acquire the ability to analyze datasets in order to extract valuable insights and inform the model-building process.
Setup and Training of Machine Learning Models: Acquire the ability to configure and train machine learning models that are customized to satisfy particular business needs.
Effective Communication of Results: Develop the capacity to communicate the results and insights from machine learning initiatives to stakeholders in a clear and concise manner.
Level: Intermediate
Certification Degree: Yes
Languages the Course is Available: 21
Offered by: On Coursera provided by CertNexus
Duration: 3 weeks at 6 hours a week
Schedule: Flexible
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