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.
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