Machine Learning with Spark Streaming

Using Spark Streaming and Spark MLlib (via PySpark) to perform Sentiment Analysis on a dataset of Tweets. Done as part of the Big Data (UE19CS322) course at PES University.

Models Implemented

• Logistic Regression
• Naive Bayes
• Linear SVM
• K-Means Clustering

The above 4 models have also been implemented with incremental learning via scikit-learn.

Team Members

• Anagha H M
• Ananya Uppal
• Kartika Nair