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