Thank you so much sir, this video came up just when I needed it! You are a godsent angel for me, thank you so much for helping students by posting such videos! Keep up the good work!
@@StatsWire In my case I have to face with time series related to pumping performance and I would like to make a model able to give me a forecast prediction. Is related to predictive maintenance. Could you help me or show me where to find such sample model? I appreciate your help and your way to explain. In case could you give me your email and we may discuss there.
@@StatsWire I tried with arima but the overcome was not really good with an important mismatch in the history phase so I tried using random forrest linear regression model approach using R code achieving a better history match. Could you give me the same example but using python? What is your feedback?
Thank you for the suggestion. I have added the dataset link for you. Please download it from here GitHub link: github.com/siddiquiamir/Data/blob/master/bike_rentals.csv
Thank you so much sir, this video came up just when I needed it! You are a godsent angel for me, thank you so much for helping students by posting such videos! Keep up the good work!
Thank you very much! Today I learned something.
You're welcome Khalid
Thank you so much, this is very useful for me.
Thank you for your kind words.
Thank you very much. I have a question. How to plot in a graph the y_test and y_pred then make a forecast for the next 30 days and visualize it?
Hi, What kind of values do you want to plot?
@@StatsWire In my case I have to face with time series related to pumping performance and I would like to make a model able to give me a forecast prediction. Is related to predictive maintenance. Could you help me or show me where to find such sample model? I appreciate your help and your way to explain. In case could you give me your email and we may discuss there.
@@francescocorallo4952 You can make ARIMA models.
@@StatsWire I tried with arima but the overcome was not really good with an important mismatch in the history phase so I tried using random forrest linear regression model approach using R code achieving a better history match. Could you give me the same example but using python? What is your feedback?
Why does y_pred require an = after now? Is this a new update? What should I set it = to?
We are saving the results in y_pred so we are using =
Amazing ! thank you
I'm glad you liked it!
Would be nice, if you'd left the dataframe here available for download.
Thank you for the suggestion. I have added the dataset link for you. Please download it from here
GitHub link: github.com/siddiquiamir/Data/blob/master/bike_rentals.csv
@@StatsWire Thank you for quick response!
@@RollerBladingSports You're welcome
Where can I get this dataset?
You can find it here: github.com/siddiquiamir/Data
can u share the commands for getting the co efficient and intercepts
You can try this .coef_
How do you forecast?
You can use time series.
Sir you removed the date and time column but on what basis can you give us a in depth reason because date and time is also a important factor
The error MSE is too big. You can normalize the data to train the RF to reduce error
Yes!
thank you!
You're welcome!
Bro, u're amazing
Thank you so much:)
Thank you very much
You're welcome!
Can you share the csv Files?
Please download it from here: github.com/siddiquiamir/Data/blob/master/bike_rentals.csv
Thank you.
You're welcome
dataset link share me please
Please find the dataset on my GitHub account " github.com/siddiquiamir/Data
why date time dropping why ??? sir
This will not help in prediction.