Jinal Patel

Cab fare Prediction

Edwisor Project Description: Designed a system that predicts the fare amount for a cab ride in the city using R and Python. Got the data analysed in excel and then imported in both R and python to perform predictive analytics after appropriate type conversions. Feature Extraction performed on the dataset extracting relevant features followed by their exploratory data analysis. Model development moving from simple to complex in the process as a part of Advance Predictive analysis. Linear regression, Decision Tree followed by a Random forest model leads to the selection of best model evident through the error metrics evaluated to get the predicted Cab fare

Bike rental count Prediction

Edwisor Project Description: Designed a system that predicts bike rental count on daily bases on the environmental and seasonal settings using R and Python. Used Predictive analytics in both R and Python along with exploratory data analysis to get the dataset in appropriate form for performing Advance Predictive Analytics. The data set provided is in time series format thus adapted time series modelling. Hence used ARIMA that stands for autoregressive integrated moving average method to predict the Bike rental count.