Time Series Analysis in Python Tutorial - V1

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  • Опубліковано 7 лис 2024

КОМЕНТАРІ • 54

  • @YiannisPi
    @YiannisPi  3 роки тому +10

    Back to Python for the next few videos! Let me know what you think about this video! Thanks!

    • @tarigahmed8637
      @tarigahmed8637 3 роки тому

      We are with you , anything that you see will benefit us as a data analyst. Thank you again

    • @andreamarkos
      @andreamarkos 3 роки тому

      Hi Yiannis, what about using multiple predictors and ensembling these models to see if accuracy and precision increase?

    • @raunakmaitra9761
      @raunakmaitra9761 5 місяців тому

      Sir, do you offer any certified course? your videos are extremely helpful
      Thank You !

  • @tarigahmed8637
    @tarigahmed8637 3 роки тому +1

    Please keep it coming, ( power bi , python , chart , dashboard, tableau, anything that could help us be more confident and comfortable with data)
    I really want to learn everything about data analyst.

  • @markwu8608
    @markwu8608 2 роки тому

    This is a great example for anyone looking to pick up time series modeling in practice! thanks so much for it

  • @jack.1.
    @jack.1. 3 роки тому +2

    You make excellent tutorials, good to see your channel growing. Keep going !

  • @cubanlincoln1767
    @cubanlincoln1767 2 роки тому

    Man seriously, how are you millionaire with all that knowledge? God bless you for teach us all this for free. Please make a full organized data science course with real life data covering all aspect of data science and I'll purchase, I don't care if it is $1000

    • @YiannisPi
      @YiannisPi  2 роки тому

      Thanks for your good words!!

  • @pavel5362
    @pavel5362 3 роки тому +1

    You did a lot of work. I mean there are a lot of cooments and explanations. It's useful for junior analysts. Keep going. Looking forward to your further tutorials.

  • @BravePrune
    @BravePrune 2 роки тому +1

    unbelievably great - wish I worked with more people like you

  • @tarigahmed8637
    @tarigahmed8637 3 роки тому +3

    Man man , you gonna make me cry lol, am so excited, thank you Yiannis🙏, appreciate you so much bro .

  • @BeanDoudou
    @BeanDoudou 3 роки тому +1

    Yayy you are back! Just in time for a time series project I'm starting in Python! Keep up the good work :)

  • @RFigtree
    @RFigtree 3 роки тому +1

    Thanks, very clear. Loved the little theory at the beginning.

  • @x1PMac1x
    @x1PMac1x 2 роки тому

    I really like how well you explain your process. Do you have videos about the RMSE and other stats concepts?

  • @nsnilesh604
    @nsnilesh604 3 роки тому +1

    Awesome project i ever seen 👍👌👌👌👌👌

  • @jameammarijr.2248
    @jameammarijr.2248 3 роки тому +1

    Many thanks bro, god bless you

  • @monicacorreia9304
    @monicacorreia9304 Рік тому

    Did you check for data stationarity? Is it necessary to use ARIMA?

  • @HealthyFoodBae_
    @HealthyFoodBae_ 2 роки тому

    Great video!!! My plot shows the full dates on the x axis (2021-01-01…)
    So I think this is causing the valid and forecast lines to be on the left of the line. What to do?
    Thanks

  • @junaidmalik9593
    @junaidmalik9593 3 роки тому +1

    Boss you are the best teacher ❤️

    • @YiannisPi
      @YiannisPi  3 роки тому +2

      Thanks! Glad you enjoy my videos!

  • @mohammedameen3249
    @mohammedameen3249 3 роки тому +1

    You are an Amazing person

  • @tomjohnas9304
    @tomjohnas9304 3 роки тому

    I've been waiting for a tutorial on Time Series! Thanks!!!

  • @kazimohiuddin5011
    @kazimohiuddin5011 2 роки тому

    You made a very helpful video. Thanks boss!

  • @padynz9869
    @padynz9869 3 роки тому

    Amazing clarity!! Thank you very much.

  • @a.5214
    @a.5214 2 роки тому

    wow, this is amazing, well explained, thanks a lot!!

  • @ajaypyakurel1805
    @ajaypyakurel1805 3 роки тому

    Thank you for your handy video. Waiting for another videos on satellite image classification. Can you make video 😀😀?

  • @thivankadilshanlokuliyanag6070

    How can we expand the iterative model in SARIMA models

  • @charusamaddar6550
    @charusamaddar6550 3 роки тому

    Hey there! Amazing video. Just what I was looking for.
    But I am not able to install fborobhet package ( although rest of them were installed easily). Any tips on what could I do? The error says couldnot find a version that satisfies the requirement.

  • @mathhack8647
    @mathhack8647 3 роки тому +1

    Execellent. Thanks

  • @VV-om8vv
    @VV-om8vv 2 роки тому

    Thanks for this

  • @relaxationstation7128
    @relaxationstation7128 3 роки тому

    Hi could you please share your excel where you explain all the different ML techniques in the start of the video ?

  • @nathanthreeleaf4534
    @nathanthreeleaf4534 2 роки тому +1

    I'm curious as to why didn't you have to ensure that the data was stationary?

  • @skallamp
    @skallamp 3 роки тому

    Could you please guide what should be the approach when we have multiple variables?

  • @arthurlucena9898
    @arthurlucena9898 3 роки тому

    Hi! My prophet doesn't work well. I dont know what to do. I tried to remove timezone from ds, but it doesnt work. Could you help me?

  • @indrayudhmondal412
    @indrayudhmondal412 Рік тому

    can you share the jupyter notebook?

  • @diegobernales9247
    @diegobernales9247 2 роки тому

    Hello, I was testing the code and I have noticed that it is outdated, I had problems installing the correct current versions and with it there are changes like:
    model_arima.fit(disp=-1) no longer works.
    Another point is that when executing the code to find the best value of "ARIMA", values of AIC = 10 appear, compared to all the others it is smaller, but when testing the corresponding parameters p,d,q , the MSE is much greater and the graph shows that they are bad values. What is this about?

    • @tanjiana2278
      @tanjiana2278 Рік тому

      i also get this error ..dont knw what to do .

  • @balakrishna5711
    @balakrishna5711 3 роки тому

    Hi, thanks for Time series, when should expect continuation eagerly waiting...

  • @karimyusrizal
    @karimyusrizal 3 роки тому

    May i know how to download the raw data?

  • @manjunath.c2944
    @manjunath.c2944 3 роки тому

    How to deploy time series model ?? That will be very helpful

  • @marconarca2706
    @marconarca2706 2 роки тому +1

    model_arima.fit(disp=-1) is type error

    • @HealthyFoodBae_
      @HealthyFoodBae_ 2 роки тому +1

      I think you can just do model.fit()
      I believe (disp=-1) is for an older version

    • @marconarca2706
      @marconarca2706 2 роки тому

      @@HealthyFoodBae_ I am currently having a problem because of the previous value in date_range

    • @marconarca2706
      @marconarca2706 2 роки тому

      @@HealthyFoodBae_ Because when I use date_range function it will include the previous date