Have you ever wondered how to apply an artificial intelligence model to business problems? The focus of this session will be on the machine learning pipeline including data cleaning, feature engineering, model building, evaluation, and productionization. Below is the outline of the proposed session.

We will start with an introduction to AI, Then proceed to a basic workflow of AI solutions, EDA with live coding, modeling with live code, model evaluation, and productionization.

Key Takeaways-

• What is AI, how is it used, how has it progressed over the years, and where we are right now
• A simple exploration of data, number of rows, column types, null values, mean target, feature distributions, correlations
• Run a linear/logistic regression
• Evaluate model accuracy, other useful metrics, etc.
• Use a model to predict new test data
• How AI helps in predictiveness, scale, progress, and innovation in the world