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Data Science Project Capstone: Predicting Bicycle Rental

Курс от University of London

Начальный≈ 7.4 чАнглийский

О курсе

This course is the seventh of eight. In this project, we will tackle a prediction problem: forecasting the number of bicycles that will be rented on a given day. Using historical data, we will consider factors such as weather conditions, the day of the week, and other relevant variables to accurately predict daily bicycle rentals. This will help ensure that our bicycle rental service is prepared with the appropriate number of bicycles each day. We will learn specifically about data acquisition and correlation.

Навыки, которые вы освоите

Regression Analysis Correlation Analysis Predictive Modeling Data Preprocessing Data Science Data Collection Statistical Modeling Predictive Analytics Data Analysis Forecasting

Программа курса

2 модулей · 37 учебных материалов

01Week 1: First Steps and Correlation17 материалов

Introduction

Introduction to this course in the specialisationВидео Course SyllabusЧтение Getting ready for this courseЧтение Capstone project informationЧтение

Steps in Data Science Life Cycle, Part 1

Учитесь у экспертов

Robert Zimmer

Professor

Data Science Project Capstone: Predicting Bicycle Rental

О курсе

Навыки, которые вы освоите

Программа курса

Introduction

Steps in Data Science Life Cycle, Part 1

Учитесь у экспертов

Robert Zimmer

Stepping out of the project: Correlation

Back to the Data Science Project

Back to Phase Two

End of the Course