DataHour: Unfolding Model Evaluation Metrics in Machine Learning

DataHour: Unfolding Model Evaluation Metrics in Machine Learning

28 Dec 202215:12pm - 28 Dec 202216:12pm

DataHour: Unfolding Model Evaluation Metrics in Machine Learning

About the Event

Model Evaluation metrics are used to identify the best fit model as per the business requirements and the problem statement. There are different types of ML problems which require a type of measurement on which we can decide whether the model performance is good or not or rather we focus on model accuracy or model performance.

In this DataHour, Shubham will be covering explaining the following topics in detail using use cases: 

  • Brief Introduction
  • When to focus on model accuracy and model performance
  • Types of model evaluation metrics we use in classification problems(Binary and multiclass)
  • Types of model evaluation metrics we use in regression problems


Prerequisites: 
Basic understanding of ML models, its applications and zeal of learning Data Science and Machine Learning.

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Who is this DataHour for?

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  3. Best articles get published on Analytics Vidhya’s Blog Space

About the Speaker

Shubham Vijayvargiya

Shubham Vijayvargiya

Sr. Data Scientist at StatusNeo

Shubham is a Senior Data Scientist and an ML enthusiast with 7+ years of experience in the field of Data science and Machine Learning. He is proficient in building scalable business solutions using AI/ML and has majorly worked with Telecom and Banking domain businesses providing end to end ML solutions. He has good expertise in using/implementing conventional ML algorithms, NLP and predictive analytics.

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