ML4211 Data Analytics Laboratory Syllabus:

ML4211 Data Analytics Laboratory Syllabus – Anna University PG Syllabus Regulation 2021

COURSE OBJECTIVES:

 To analyze the data using statistical methods.
 To understand data analysis tools.
 To learn a Data Mining Tool.
 To learn various data analysis algorithms.
 To learn Data Mining Algorithms.

SUGGESTED ACTIVITIES:

List of Experiments
1. Data Analysis- Getting to know the Data (Using ORANGE, WEKA)
 Parametric – Means, T-Test, Correlation
 Prediction for numerical outcomes – Linear regression
 Correlation analysis
 Preparing data for analysis
 Pre-processing techniques
2. Data Mining (Using ORANGE, WEKA or any open source data mining tool)
 Implement clustering algorithm
 Implement classification using
 Decision tree
 Back propagation
 Visualization methods.

COURSE OUTCOMES:

CO1: Use statistical techniques to carry out the analysis of data.
CO2: Apply various Data Analysis algorithms.
CO3: Apply Data Mining algorithms
CO4: Use Data Analysis tools
CO5: Use Data Mining tools