“Artificial Intelligence And Data Science: Insights, Practices And Applications - Day 2 : 3rd June 2024 organised by Department of Computer Science & Engineering, Mechanical Engineering, Electronics & Communication Engineering in association with Internal Quality Assurance Cell.
Session 1: Introduction to Big data and Data Science:Session 2: Introduction to Machine Learning: Types of ML algorithms, examples of supervised learning and unsupervised learning.
Session 3: Linear Regression: Simple Linear Regression, Multiple Linear Regression, Assumptions of Linear Regression, Multicollinearity, Regularization Techniques (Ridge, Lasso, Elastic Net), Model Evaluation Metrics, Feature Selection and Model Interpretation, Residual Analysis.
Hands-on workshop: Implementing regression algorithms using Python libraries (e.g., scikit-learn). Data preprocessing, model training, and evaluation on sample datasets.
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