python spectral analysis -- .
$30-250 CAD
Paid on delivery
Needs to be able to import a spreadsheet (or csv) and perform spectral analysis on the columns. Coherency and gain, cross-coherency, cross-gain needs to be calculated. The import should be able to detect the number of columns and include the columns automatically in the spectral analysis.
The analysis must be able to be performed on a group by basis, i.e., each group is a separate time series. Scipy number crunching of the FFT would be preferred.
Project ID: #19420138
About the project
12 freelancers are bidding on average $167 for this job
-Professional Econometrics, Financial Analysis, Machine Learning, Python, Statistics expert ! Best Result in Time!------------------------------ Hello sir. I've really rich experience for your project, so your projec More
Hello, I have gone through your job posting and become very much interested to work with you. I am an expert in this field. I have already completed several projects like this. For evidence you can see my profile. More
Dear Employer, I have extensive experience in signal processing, and python using well-known python libraries such pandas, scipy, and sklearn which are essential to calculate coherency and gain, cross-coherency, cr More
Hi I'm an expert in python programming. I'm sure that I can easily do this project. We can have a about it. Thanks..
Hi, I am an expert in statistical analytics using python. You can send me. Csv files and I will build the project for you. Contact me to discuss more details. Thanks
Please provide the sample of spreadsheets with input data. What version of Python (2 or 3) you want to use?
Hey, I am working on data science with python from past 1 year and have good experience with the task mentioned by you. I would love to discuss the project in detail.
Though I am a fresh entrant into python programming (only 2 years), I have lots of experience with numpy, scipy and matplotlib. Having said that, I have much more experience in signal processing as an engineer and rese More
