Description
Build a Time Series Crate in Rust and Publish to Cargo. This course is designed for developers who want to learn Rust by implementing a real-world project. The course builds an open-source library for processing time series data without using external libraries, covering basic concepts such as moving averages, trend detection, and ARIMA and SARIMA models. Participants will learn the mathematical foundations of these models and how to optimize performance in Rust. At the end of the course, they will learn how to publish the library to Cargo. This course is suitable for developers, data engineers, and analysts looking to work with Rust in the time series domain. The benefits include hands-on learning, no background in Rust required, and developing a usable library that helps grow professional skills.
What you will learn
- Building an open source time series processing library from the ground up.
- Explore how to use time series data and the mathematics behind each time series model in predictive and machine learning models.
- How to apply ARIMA, Exponential Smoothing, and Machine Learning techniques to predict future values.
- How to manage data structures, file I/O, and optimize performance in Rust.
This course is suitable for people who:
- Developers who want to learn Rust by building a real project.
- Anyone interested in time series analysis and machine learning.
- Engineers looking to create high-performance data tools.
- Anyone who wants to contribute to open source projects.
- Data scientists or analysts who want to explore Rust for time series processing.
Build a Time Series Crate in Rust and Publish to Cargo Course Details
- Publisher: Udemy
- Lecturer: Ravinthiran Partheepan
- Training level: Beginner to advanced
- Training duration: 7 hours and 51 minutes
- Number of lessons: 27
Course topics
Prerequisites for the Build a Time Series Crate in Rust and Publish to Cargo course
- A basic understanding of statistics, including concepts like mean, variance, and others, is recommended to take this course.
- No programming knowledge of Rust is required. The basics will be taught, and you will learn them while coding each module.
Course images
Sample course video
Installation Guide
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Subtitles: None
Quality: 720p
Download link
File(s) password: www.downloadly.ir
File size
3.1 GB