What you’ll learn
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Difference between time series and Signals
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Basic concepts on waves
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Basic concepts of Fourier Transforms
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Basic concepts of Wavelet Transforms
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Classification and applications of Wavelet Transforms
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Setting up Python wavelet transform environment
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Built-in Wavelet Families and Wavelets in PyWavelets
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Approximation discrete wavelet and scaling functions and their visuliztion
Who this course is for:
- Data Analysist, Engineers and Scientists
- Signal Processing Engineers and Professionals
- Machine Learning Engineers, Scientists and Professionals who are seeking advance algrothms
- Acedemic faculties and students who study signal processing, data analysis and machine learning
- Anyone who likes signal processing, data analysis,and advance algrothms for machine learning
Can I download Practical Python Wavelet Transforms (I): Fundamentals course?
You can download videos for offline viewing in the Android/iOS app. When course instructors enable the downloading feature for lectures of the course, then it can be downloaded for offline viewing on a desktop.Can I get a certificate after completing the course?
Yes, upon successful completion of the course, learners will get the course e-Certification from the course provider. The Practical Python Wavelet Transforms (I): Fundamentals course certification is a proof that you completed and passed the course. You can download it, attach it to your resume, share it through social media.Are there any other coupons available for this course?
You can check out for more Udemy coupons @ www.coursecouponclub.com
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Disclosure: This post may contain affiliate links and we may get small commission if you make a purchase. Read more about Affiliate disclosure here.
