I'm preparing economic data for a machine learning application. I have a data set composed of 100 rows (each one a month) and 20 columns (each one a variable -- things like inflation, government spending, etc.).
But my data set is too small for deep learning like RNN, so I want to expand it.
So what I want is a new data set with daily data instead of monthly data. For a month with 30 days, you'd take the difference between the two monthly numbers and divide it by 30, and then fill in the days in 1/30 steps. (If the month has 31 days, you'd use 1/31 steps, and if the month has 28 days (a leap year when Feb has 28 days) you'd use 1/28 steps.
I'll supply you with the monthly data set with 100 rows by Google Sheets or a cvs file (whichever you prefer) and you'd give back to me the daily data set with about 3000 rows in the same format.
I have more machine learning steps to this project using Python, so if you work out well for this step, there may be a lot of follow on work.
42 freelancers are bidding on average $124 for this job
Hello, I can assist you to generate gaily data as per your requirements. I’m ready to start immediately. Please drop a PM if you’re interested. Best regards, Hoang
Hi, I am Python script developer with 10 years of experience. I can do this by python script/bot with your instructions very short time. Can we discuss please? Thanks.
Hi, I would like to help you with your dataset augmentation project. You can rely on me. I am an experienced developer and mathematician. Looking forward to hear from you. Best regards, Oleg