• Savita Sangam
• Neha Santosh Andhare
• Aishwarya Prabhakar Jadhav
• Vaishnavi Pralhad Jadhav

To predict longer-term events, predictive analysis uses data that is archived. A mathematical model from past data is used to capture trends that are important. The model then uses the current data to predict the longer term or to derive actions that recently require tones of appreciation of optical results for predictive analytics due to the development of supporting technology in the areas of massive data in machine learning. Many industries use predictive analytics to make accurate predictions, such as providing a discount for driving around town. This resource planning enables forecasting, for example, taxi fares can be predicted more accurately. There are many factors to consider when starting a taxi business. This project tries to know patterns and use different methods to predict fares. This project is developed to predict taxi fares in a certain city. The project involves different steps like training, testing using different variables like pick up, drop off location to predict taxi fare.

Machine Learning, Fare Prediction, Predictive analysis, Supervised Learning.

"Taxi fare prediction using ML", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 6, page no.47-54, June-2024, Available :http://www.jetir.org/papers/JETIRGH06008.pdf

"Taxi fare prediction using ML", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 6, page no. pp47-54, June-2024, Available at : http://www.jetir.org/papers/JETIRGH06008.pdf