What is your future car? Predictive Shiny App
What is your future car? Predictive Shiny App

I created this Shiny App in 2014 based on my research on consumer behavior and infrastructure analysis. The backend of this model is based on a multinomial logistic regression algorithm, which takes in consumer characteristics, vehicle attributes, and predicts the probability of the consumer purchasing a vehicle technology. The App gives the top 3 optimal choices for the consumer.

Click here for the Shiny App link. For more details about this project, see the blog post.

PrediKt: A tool to predict the next word
PrediKt: A tool to predict the next word

This was done as part of the Coursera Data Science Specialization project. Based on the corpus of text data given, n-grams were created. The tool predicts the next word in real-time based on the word chains given in the input. Model details are given under the 'Model' tab in the app.

Click here to play with the next word prediction tool. 

Conversion rate of a website
Conversion rate of a website

This is a simple random forest classification done in R, to identify the conversion of a website. 

What is your future car? Predictive Shiny App
PrediKt: A tool to predict the next word
Conversion rate of a website
What is your future car? Predictive Shiny App

I created this Shiny App in 2014 based on my research on consumer behavior and infrastructure analysis. The backend of this model is based on a multinomial logistic regression algorithm, which takes in consumer characteristics, vehicle attributes, and predicts the probability of the consumer purchasing a vehicle technology. The App gives the top 3 optimal choices for the consumer.

Click here for the Shiny App link. For more details about this project, see the blog post.

PrediKt: A tool to predict the next word

This was done as part of the Coursera Data Science Specialization project. Based on the corpus of text data given, n-grams were created. The tool predicts the next word in real-time based on the word chains given in the input. Model details are given under the 'Model' tab in the app.

Click here to play with the next word prediction tool. 

Conversion rate of a website

This is a simple random forest classification done in R, to identify the conversion of a website. 

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