Predicting the cost of cab rides using machine learning

Anna Marus (Autor)

Buch | Softcover

64 Seiten

2024
Our Knowledge Publishing (Verlag)
978-620-8-51152-4 (ISBN)

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Taxis are an integral part of modern society. And predicting the cost of journeys is of great importance to passengers, taxi drivers and taxi companies. It allows passengers to plan their expenses and avoid unexpectedly high prices. For taxi drivers, it helps them optimise their work, choose more profitable routes and increase their earnings. It helps taxi companies to manage prices, attract more customers and increase their profits. In addition, predicting the cost of taxi rides can be useful for city authorities when planning transport infrastructure and developing urban public transport programmes. Applying machine learning to taxi fare forecasting can take into account many factors such as distance, time of day, weather conditions, demand level and many others to create more accurate and reliable forecasts. Thus, predicting the cost of taxi journeys using machine learning methods is an urgent task that can benefit both individual users and society as a whole.

My name is Anna Marus, and I was born in the small town of Soligorsk in the Republic of Belarus. From an early age I was fond of mathematics and exact sciences. I graduated from the Faculty of Mechanics and Mathematics, where I wrote this paper. At the moment I work as an analyst. In my free time I like to walk in nature and do sports.

Erscheinungsdatum	12.01.2025
Sprache	englisch
Maße	152 x 229 mm
Gewicht	104 g
Themenwelt	Mathematik / Informatik ► Mathematik ► Analysis
Schlagworte	CAB FARE PREDICTION • Data preprocessing • Decision Tree • GRADIENT BOUSTING • K- • K-NEAREST NEIGHBOR METHOD • LEARNING WITH TEACHER • linear regression • machine learning • random forest • SUPPORT VECTOR METHOD
ISBN-10	620-8-51152-6 / 6208511526
ISBN-13	978-620-8-51152-4 / 9786208511524
Zustand	Neuware