Hi, I'm Chavi!

Predicting California House Prices

Predicted housing values using k-means algorithm in R by analyzing the data using exploratory data analysis on Tableau and R for each resulting cluster.

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Wine Classification

Leveraged random forests model to classify if a wine would be red or white based on its composition. Predicted the quality of the wine using multivariate linear regression.

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Hate Speech Classification

Hate Speech Recognition using Natural Language Processing

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High Note Case Study

Literature shows that peer influence and user engagement can affect users’ decisions to pay for a premium subscription. Using the High Note data, this study predicts the decision to buy using both types of variables. The results will quantify the effect of social engagement on revenue, as well as how valuable a premium subscriber can be in a freemium social community.

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Suicide Rate Analysis

Compares socio-economic info with suicide rates by year and country. Provides visualizations of trends of suicide-rates w.r.t years, countries, GDP per capita, generations, gender, age-groups, etc. and provides useful insights/hypotheses.

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Submarine

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