Time Series Forecasting Using Facebook FbProphet

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In this video we will have a look how we can perform Time Series Forecasting Using Facebook FbProphet
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It's been quite sometime now following you and I can say you are my go-to person in case if I require any detailed explanation about any of the data science topics. keep up the good work.

mahakjain

Hi Krish! First of all, thanks a lot for the job you are doing here!
as for this video, i got a question: what is about stationarity test? do we need that one with fbprophet?

trevorcohle

Hi Krish,

Placing a ';' at the end of the plot statement will display only one set of plots. This is because jupyter will automatically render any matplotlib plots.

syedmunazzirahmed

Thank you @Krish for the wonderful tutorial. MSE, RMSE aside, would you mind guiding us on how to calculate the percentage accuracy of the model?

Learner_

Great work Krish

Several time series tutorials are covering the usage of packages but very few explaining the underlying concepts and math behind them. For example, how parameters for SARIMA model can be identified using ACF/PACF plots? A detailed time series playlist will be really helpful!

Nonetheless, your videos are a great resource to learn. Keep up the good work!

sohinimitra

Hi Krish....quick question do we need to fix the trend, seasonality and autocorrelation while using prophet?? Or is the model smart enough to figure those things out themselves? Thanks

alisquest

Thanks, bruh. It was nice, simple and straight to the point tutorial. Loved it. And your presentation was clear as well as your overall flow of logic was epic. God bless you, bro.

ermiasdejene

It is printing twice because you are not putting semi colon there. After every plot just put semi colon

AkshayKumar-nhfv

Hi Krish, thanks for taking up this topic.Can you please create tutorial on multivariate time series and effect of exogenous variables

shilpaprusty

Hi Krish,

I am great fan of your work, you inspired me to take up Data Analytics as my specialization in Masters. I have quick question, Can I use more than one exogenous variable in SARIMAX model? Can the SARIMAX be called as multivariate mode?

AkashSalimath

Hi Krish,
Please make a video on hourly time series prediction. I see a lot of videos on daily and monthly time series but none on hourly predictions using ARIMA or Facebook prophet.

akandeifeoluwa

Hi Krish, thanks for the video, but the parameters of cross validation function was not goud explained!

patricktchuente

It was really awesome, would it be good if you start a series of videos for geopandas which takes the individual to learn from start to finish

adilmajeed

Hi Krish!
Thanks for the video. How do you know seasonality is yearly? The reason I am asking is, the dataframe has daily data but you are using yearly seasonality.

bhavinmoriya

Hi Krish, one Question.

Can we use it for Anomaly detection at lower grains without making a lot of False positives? (Eg: Checking for city level sales on daily basis, with total of 4000 cities)

bhuvaneshkumarsrivastava

Hi nice video thanku, I wanted to know can use on non stationary dataset does it handel by itself or should we pump in stationary data .

chethan

Is there any playlist for time series in your channel sir?

bagavathypriya

hello krish, thanks for this information i want to know one thing what is the concept of cv and how many folds it is taking.

shubhammittal

Hi Sir, What approach we should follow when the target variable is following sigmoid or logistic or S curve with respect to time.
Shall we still apply Time Series? If we can which algorithm we should chose as it has multiple variables affecting target variable?

ravibengeri

So sir the stock prediction in crypto will make me richer maybe lol.
Such a nice video

slowhanduchiha

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