▶ Watch Entire Pandas Playlist ✅ Subscribe To My RUclips Channel: bit.ly/3wDKct8 bit.ly/2IGzvOR ▶ See More At: ✅ Join My Facebook Group: Codemy.com bit.ly/2GFmOBz ▶ Learn to Code at Codemy.com ✅ Buy a Codemy T-Shirt! Take 50% off with coupon code: youtube50 bit.ly/2VC9WUN ▶ Get The Code: bit.ly/3PXPJBt
Today was the day that I learned I didn't want to touch statistics in python. I can't believe how much effort it is to use a SI format Excel and trying to get "," delimited "." decimal .csv (none of the tricks work, excel is too smart now to let you tell it how to output the data). I had just a simple two column data set of dates (in your dd.mm.yyyy format) and weight. It seemed to be impossible to get the correct format data in python. Either it lost delimiters inside the list/array for no obvious reasons when trying to concanetate for some calculations, and if it worked out with the library functions as strings, they couldn't handle the date and wanted to transform it to float. And there was no way I could figure out how to generate a correct format data as just indexing numbers. Had maybe 50 tabs open in examples and documentation about every step and library and in the end it didn't work. Just wanted a linear regression to show weight development on straight forward data :P
▶ Watch Entire Pandas Playlist ✅ Subscribe To My RUclips Channel:
bit.ly/3wDKct8 bit.ly/2IGzvOR
▶ See More At: ✅ Join My Facebook Group:
Codemy.com bit.ly/2GFmOBz
▶ Learn to Code at Codemy.com ✅ Buy a Codemy T-Shirt!
Take 50% off with coupon code: youtube50 bit.ly/2VC9WUN
▶ Get The Code:
bit.ly/3PXPJBt
So happy how far you have taken this series.The fun stuffs now begin!
Definitely should be fun!
Why is the "target" added? where did the values for "target" come from?
c'est quoi un p-value
A p-value is a statistical measurement used to validate a hypothesis against observed data...but we're not talking about that in this video obviously.
Today was the day that I learned I didn't want to touch statistics in python. I can't believe how much effort it is to use a SI format Excel and trying to get "," delimited "." decimal .csv (none of the tricks work, excel is too smart now to let you tell it how to output the data). I had just a simple two column data set of dates (in your dd.mm.yyyy format) and weight. It seemed to be impossible to get the correct format data in python. Either it lost delimiters inside the list/array for no obvious reasons when trying to concanetate for some calculations, and if it worked out with the library functions as strings, they couldn't handle the date and wanted to transform it to float. And there was no way I could figure out how to generate a correct format data as just indexing numbers. Had maybe 50 tabs open in examples and documentation about every step and library and in the end it didn't work. Just wanted a linear regression to show weight development on straight forward data :P
Uh, I think you are massively misunderstanding something...python is superb at statistics.