Machine Learning from Basics to Production
#datascience #machinelearning #ml
In this video, Saishruthi Swaminathan will walk us through the lifecycle of a machine learning workflow
This session will cover
• Business discussion: What is the problem being solved?
• What are the questions derived from the business problem?
• Can the business problem be solved using the data?
• Did you go through the design thinking to understand the unintended consequence of the approach?
• Identify data source and data extraction process
• Is the data collected representative of the problem to be solved?
• Is there any sensitive data? Did we handle data as per the policy?
• Explore data for insights
• Develop the prediction model (Cover imbalance data handling)
• Evaluate the model
• Show deployment ways
• How can you tell a overall story to non-data professionals?
Data: https://www.kaggle.com/radmirzosimov/...
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