Essay Data Analysis to Generate a Set of Predictions – Data Analytics Assignment Help

Assignment Task

Details
The first part of this project involves conducting the steps of data analysis to generate a set of predictions. You must submit your Kaggle username and first set of predictions before November 1st and submit at least five sets of predictions before the deadline. Note, there is a limit of three submissions per day. The second part involves putting together a succinct presentation outlining what you learned from the experience. Your presentation should be supported by just one slide.

Kaggle Predictions
The project is hosted on Kaggle where you will be able to get the data from, submit your predictions and monitor your performance.  For this project, you are given a listing of over 35,000 Airbnb rentals in New York City*. The goal of this competition is to predict the price for a rental using 90 variables on the property, host, and past reviews. To arrive at the predictions, you are encouraged to apply your learning on data exploration, summarization, preparation, and analysis. Arriving at good predictions begins with gaining a thorough understanding of the data. This could be gleaned from examining the description of predictors, learning of the types of variables, and inspecting summary characteristics of the variables. Visual exploration may yield insights missed from merely examining descriptive characteristics. Often the edge in predictive modeling comes from variable transformations such as mean centering or imputing missing values. Review the predictors to look for candidates for transformation.

Goal
Once you construct a set of predictions for Airbnb rentals in the scoring dataset, you will upload your prediction file to Kaggle. Your submission will be evaluated based on RMSE (root mean squared error) and results posted on Kaggle’s Leaderboard. Lower the RMSE, better the model.