Artificial Intelligence And Data Science: Insights, Practices And Applications - Day 3 : 4th June 2024 (FN –Algorithms used in ML) (AN – Hands on workshop) organised by Department of Computer Science & Engineering, Mechanical Engineering, Electronics & Communication Engineering in association with Internal Quality Assurance Cell.
Session 1: Exploratory Data Analysis (EDA): Data Cleaning, Univariate Analysis, Bivariate Analysis, Multivariate Analysis, Data Visualization, Summary Statistics, Outlier Detection, Missing Data Handling, Feature Engineering, Data Transformation.
Session 2: Logistic Regression: Introduction to Logistic Regression, Binary Logistic Regression, Multinomial Logistic Regression, Model Evaluation Metrics, Model Evaluation Metrics (Accuracy, Precision, Recall, F1 Score), Receiver Operating Characteristic (ROC) Curve and Area Under Curve (AUC).
Comments