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The goal of this machine learning project in R is to build a predictive model that can predict the total travelling time of 442 taxis running in the city of Porto based on their partial trajectories. This predictive framework will be used to enhance the efficiency of electronic taxi dispatching systems in Porto. You will use the taxi trajectory dataset from 01/07/2013 to 30/06/2014 containing the trajectories for all the 442 taxis running in the city of Porto.
This data science in python project predicts if a loan should be given to an applicant or not. We predict if the customer is eligible for loan based on several factors like credit score and past history.
The goal of this data science project is to build a predictive model and find out the sales of each product at a given Big Mart store.
Deep Learning Project- Learn to apply deep learning paradigm to forecast univariate time series data.