[Big Data Analytics, Text Analysis, Sentiment Analysis, Cloud Computing]

· Big Data Processing with Spark RDDs

· Large-Scale Data Processing with Spark on the Cloud

· Data Modeling and Optimizations

· Optimization Methods

· Large-Scale Supervised Learning

· Cloud Storage (AWS S3)

· Cloud Analytics (AWS EMR)

· Data Preprocessing (Tokenization, Stemming, Bag-of-Words)

· Exploratory Data Analysis (Sentiment Trend Analysis, Labeling Polarity for Classification)

· Classification Models with TF-IDF Vectors (Logistic Regression, Naive Bayes, Support Vector Machine)

· Classification Evaluation Metrics (Accuracy, Precision, TPR Recall, F-Score)









Previous
Previous

**Big Data 1 - [Big Data Analytics, ETL Pipeline, Cloud Computing]

Next
Next

*Database 1 - [Database Normalization, Distributed Database, Dimensional Data Warehouse]