Feature Engineering for Time Series Projects - II
Learn more advanced concepts of Feature Engineering and Intervention Analysis with Python codes walkthrough.
Prabhakaran SPrincipal Data Scientist
Included in All-Access, one membership for every course.
- Lessons
- 17, in 5 chapters
- Video
- 2 h 16 min
- Certificate
- On completion
Course content
5 chapters · 17 lessons · 2 h 16 min
01Forecasting Example2 lessons · 33 min
- Forecasting Example31:50
- Download Resources1:00
02Forecasting Principles3 lessons · 38 min
- Types of Forecasting11:10
- List of Exogenous variables and Data Source12:36
- Cross validation Approaches for Time Series14:27
03Advanced Feature Engineering5 lessons · 24 min
- Feature Engineering with TSFresh9:40
- Understanding the TSFresh Feature6:10
- What other packages to use for Feature Engineering3:09
- Overview of Features from TSFeatures3:32
- Course Review1:00
04Feature Selection approaches for Time Series4 lessons · 15 min
- Introduction to Feature Selection approaches1:30
- Features Selection Approach - Set 13:48
- Features Selection Approach - Set 24:22
- Time Series – Solved Case Studies Resources5:40
05Intervention Analysis3 lessons · 28 min
- Intervention Analysis patterns7:47
- Detecting the intervention and fitting the best model14:14
- How to Handle COVID Interventions6:20
What you need
- Basics of Python
- Foundational knowledge of Data Science
- High school maths
Who this course is for
- Data Science Aspirants
- Data Science Professionals
- Software/Data engineers interested in quantitative analysis
- Professionals working with large datasets
- Data analysts, economists, researchers
Your instructor
Prabhakaran S
Principal Data Scientist
My name is Selva, and I am super excited to mentor you on this course!
I head the Data Science team for a global Fortune 500 company and over the last 10 years of my data science experience I've deployed 20+ global products. I'm also the Founder and Chief Author of Machine Learning Plus, which has over 4M annual readers.
I specialize in covering the in-depth intuition and maths of any concept or algorithm. And based on my existing student requests, I've put up the series of courses and projects with detailed explanations, just like on-the-job experience. Hope you love it!
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- learners
- 57K+
- courses
- 85
Questions
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