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a predictive model to determine the income level for people in US. Imputed and manipulated large and high dimensional data using data.table in R. Performed SMOTE as the dataset is highly imbalanced. Developed naïve Bayes, XGBoost and SVM models for classification
This capstone project was completed for the Winter 2018 Galvanize Data Science Immersive program. The project aid users in rooting out the usage of fake images on the internet by automatically scraping web pages related to a topic of interest, cross referencing the images from each each web page with a directory of known fake images, and identif…
Model with Dimensionality Reduction with performing SMOTE and Tuning will get comparable results comparing with off-the-shelf models in Sentiment Analysis of Citations (Athar 2011).