Taxi demand prediction in New York City using Machine Learning
Taxi demand prediction in New York City using Machine Learning
Srikanth Varma,
Lead DSML Instructor at Scaler
About this Free Taxi demand prediction in New York City using Machine Learning Course
Embark on a data-driven journey through the bustling streets of New York City with our Taxi Demand Prediction course. Explore the intricacies of forecasting taxi demand using cutting-edge machine learning techniques. From understanding spatiotemporal patterns to predicting peak hours, this course equips learners with the tools and expertise needed to navigate the dynamic landscape of urban transportation. Whether you're a novice or seasoned professional, join us in unraveling the secrets of taxi demand prediction and making a tangible impact on urban mobility.
5
Audio: English
Subtitles: English
Duration
2h 48m (1 Modules)Course Level
BeginnerCertificate
IncludedWhat you’ll learn
The skills that you would learn after taking up this Taxi demand prediction in New York City using Machine Learning online course are:
- Understanding how machine learning can be applied to solve practical business problems.
- Identifying the goals and limitations of the project.
- Understanding how to translate the business problem into a machine learning problem, including data considerations.
- Data cleaning: Preprocessing trip duration data.
- Identifying and removing outliers or erroneous points.
- Performing clustering or segmentation on the dataset.
- Smoothing time-series data using different techniques.
- Applying time series and Fourier transforms for feature engineering.
- Utilizing ratios and previous-time-bin values for feature engineering.
- Implementing simple moving average for feature engineering.
Course Content
1 Modules | 28 Lessons | 2h 48m
Certificate for Free Taxi demand prediction in New York City using Machine Learning
After successfully completing the course, you’ll be awarded with Certificate Of Excellence from Scaler
Explore Scaler Premium Program and unlock a world of benefits
Structured Curriculum
Experience expert-led learning with our industry-proven curriculum
1:1 Mentorship Sessions
Learn from industry experts with our personalised 1:1 Mentorship
Career Support
We're dedicated to helping you achieve your career goals
Instructor of this course
Lead DSML Instructor at Scaler
2000+ Students on Scaler Platform
600+ Hours of Lectures Delivered
5 Star Instructor on Scaler
9 Courses
- Co-Founder & Principal Instructor, Applied AI & AppliedRoots
- Senior ML Scientist @ Amazon, Palo Alto and Bangalore
- Co-Founder, Matherix Labs
- Research Engineer, Yahoo! Labs
- Masters from IISc Bangalore, Gate 2007(AIR 2)
- 13 years of experience in AI and Machine Learning
Key Features of this Taxi demand prediction in New York City Course
Embark on a transformative journey into the realm of Taxi demand prediction in New York City equipped with the knowledge and skills. By enrolling, you will:
- Gain a comprehensive understanding of taxi demand prediction in New York City's dynamic environment.
- Define clear objectives and constraints to guide model development.
- Learn to map real-world data to ML problems using Dask dataframes.
- Explore time series forecasting and regression techniques tailored to taxi demand prediction.
- Evaluate model performance using appropriate metrics.
- Master data cleaning techniques for handling various data types and outliers.
Pre-requisites for Taxi demand prediction in New York City Course
Prior to embarking on this course, familiarity with the following concepts is recommended:
- Basic understanding of machine learning concepts and algorithms.
- Proficiency in Python programming language for data manipulation and model implementation.
- Familiarity with data preprocessing techniques, including cleaning and feature engineering.
- Understanding of regression analysis and time series forecasting.
- Prior experience with data analysis and visualization using libraries like pandas and matplotlib.
Who should learn this Taxi demand prediction in New York City Course?
This course is ideal for those who are:
- Interested in exploring the intersection of data science and transportation analytics.
- Aspiring data scientists seeking practical experience in predictive modeling.
- Urban planners or transportation professionals looking to leverage data-driven approaches for demand forecasting.
- Students or enthusiasts eager to understand the application of machine learning in real-world scenarios.
- Anyone curious about the dynamics of taxi demand and its implications for urban mobility and infrastructure planning.