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Learning Outcomes


  • Upon satisfactory culmination of the course, participants will possess the following competencies:
     Proficient implementation of fundamental machine learning algorithms and methodologies utilizing Python libraries.
     Competent execution of data preprocessing procedures and adept analysis of datasets.
     Construction and assessment of predictive models tailored to diverse real-world contexts.
     Apt interpretation of model outcomes, facilitating informed decision-making grounded in machine learning insights.
     Application of optimal practices in model selection, evaluation, and deployment.
     Cultivation of self-assurance conducive to continued learning and specialization within the realm of machine learning.

 

Updated at 02-Apr-2024