Big Data Analytics, 2019
Semester:
Spring - Topics Covered: Big Data Analytics, Linear Regression, Logistic Regression, Classification Methods, Clustering, Time Series Analysis, and Text Analytics.
- Project: Application of data mining techniques on a real-life problem selected by students and proposing an effective business solution.