Exploratory Data Analysis BAI515E
Course Code: BAI515E
Credits: 03
CIE Marks: 50
SEE Marks: 50
Total Marks: 100
Exam Hours: 03
Total Hours of Pedagogy: 40H
Teaching Hours/Weeks: [L:T:P:S] 3:0:0:0
Introduction to Python and NumPy: Getting Started in IPython and Jupyter, Enhanced Interactive Features, The Basics of NumPy Arrays, Sorted Arrays, Structured Data: NumPy’s Structured Arrays.
Data Manipulation with Pandas – I: Introducing Pandas Objects, Handling Missing Data, Hierarchical Indexing, Pivot Tables.
Data Manipulation with Pandas – II: Vectorized String Operations, Working with Time Series, High- Performance Pandas: eval and query.
Data Visualization with MatPlotlib: General Matplotlib Tips, Simple Line Plots, Simple Scatter Plots, Visualization with Seaborn.
Introduction to Machine Learning: What Is Machine Learning?, Introducing Scikit-Learn, Hyperparameters and Model Validation.
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