By analyzing Uber trips, we can draw many patterns such as which day has the highest and the lowest trips, the busiest hour for Uber, and several other insights. The dataset we are using here is based on Uber trips from New York, a city with a very complex transportation system and a large residential … Read more
Language detection is a natural language processing task where we need to identify the language of a text or document. Using machine learning for language identification was a difficult task a few years ago because there was not a lot of data on languages, but with the availability of data with ease, several powerful machine … Read more
To predict the food delivery time in real-time, we need to calculate the distance between the food preparation point and the point of food consumption. After finding the distance between the restaurant and the delivery locations, we also need to analyze the relationships between the time taken by delivery partners to deliver food in the … Read more
