Description
Data Engineering for Machine Learning course. This course allows participants to develop data engineering skills to prepare raw data for use in machine learning projects. The course focuses on gaining practical expertise in collecting, cleaning, validating, and transforming data into high-quality datasets. Participants will learn the fundamentals of data engineering and how to extract data from various sources such as databases, CSV and JSON files, and APIs. In the practical part, using Python in VS Code and libraries such as Pandas, scalable pipelines for batch and real-time data processing are created. Data preprocessing and validation techniques are also taught to increase the accuracy and improve the performance of machine learning models. Methods for automating data pipelines, managing big data, and feature engineering are presented, taking into account ethical principles such as privacy and bias prevention. By the end of the course, learners will have the ability to design and implement scalable, secure, and ethical data pipelines that provide the necessary infrastructure to run machine learning projects and implement MLOps practices.
What you will learn
- Data Collection and Preparation: You will learn how to collect and prepare data from various sources such as APIs, databases, CSV and JSON files.
- Building Data Pipelines: You build scalable data pipelines using Python and libraries like Pandas.
- Data Cleansing and Validation: You will master the essential techniques for data cleansing and validation.
- Feature Engineering: You will learn best practices for integrating feature engineering processes.
- Pipeline Automation: You will learn how to automate the data pipeline.
- Ethical considerations: You address ethical issues such as avoiding bias and data privacy.
This course is suitable for people who:
- Software Engineers: People who want to expand their expertise in machine learning.
- Machine learning specialists: People looking to improve the quality of their input data.
- Data Analysts: People who want to improve their skills in preparing data for predictive models.
Data Engineering for Machine Learning Course Specifications
- Publisher: Pluralsight
- Instructor: Brian Letort
- Training level: Beginner
- Training duration: 1 hour and 3 minutes
Course headings
Course images
Sample course video
Installation Guide
After Extract, view with your favorite player.
Subtitles: English
Quality: 720p
Download link
File(s) password: www.downloadly.ir
File size
98 MB
