Time Series Analysis and Forecasting - Forecasting Sales in Python - ARIMA, AR, MA models theory

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Time Series Analysis and Forecasting in Python | Forecasting Sales

In this time series analysis and forecasting video tutorial I have talked about how you can forecast sales data in python. We’ll see the relevant libraries like pandas, matlotlib, stattools used in this project tutorial for data science and finally how we can compare naïve time series model, ARIMA model and hyperparamter tuned model to determine which model is working fine.

Also I have talked about various interview questions and tips and tricks related to time series theory and python code which can be asked in an interview or in a normal business scenario.

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Thank you
Abhishek Agarrwal

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I have watched many youtube videos for time series but I really feel like this one helped me truly understand how to do it. thank you. My recommendation is that when you say " I covered this in my previous video" please tell us the name or title the videos in a way where we can follow a progression.

Thank you so much for posting this.

annacruz

Extremely nice video. The way you explain the things, is too good. You don't leave behind any doubt about the things that comes in each programming statement. Thank you very much.

maheshsale

The mean can be used to get an overall idea, or picture, of the data set. Mean is best used for a data set with numbers that are close together. The median can be used to get an idea of what values fall above the midpoint and what values fall below the midpoint.

makenayvonne

The way you explain is very simple and clear!! 💯

joeljames

FANTASTIC! Well explained for the beginners like me to follow and understand. Thank You.

productvisibilitytvshoppin

You absolutely have no idea how many abysmal videos I had to watch before I found yours. Thank you for your sharing

syahmiaiman

I really enjoyed watching your video. It clarified so many simple foundational concepts to me while learning through time series analysis. Thanks

neelammishra

Very insightful video sir...thank you!

amitgawade

good video thx.. to answer one of your questions median is preferred when the data distribution is skewed and mean when its symmetrical

rudevariables

nicely explained, could you also extend this to explain how to check/ test for various components presents in a time series data, and add more videos to build upon the modelling to find best time series forecasting for the shampoo data. Thanks in advance 👍

theabhishekkumardotcom

good explanation ; @6:10 "Kepted" lol

mudassirqadeer

Hello Abhishek, thanks a lot for your video. I wanted to ask you if you've read how to apply forecasting models to time series with multiple SKU (like 500 - 2000) considering the efficienty while running it, thinking of using the forecast once every week. I would really appreciate if you can indicate me an study case or real case in which I can take a look to the approach within the code. Thanks in advance!!

stonesupermaster

Thank you a lot for this video but I have a question that comes to mind, why don't you take the sqr for the MSE in the iteration (for loop)?

abdullahsaif

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

mean when data is symmetrical, meadian when data is skewed

artificial-intelligence

Hi Abhishek, thank you very much for the clear explanation,
Can you please provide the link or explain the python implementation for "Multivariate Time series" problem.

girishlc

Sir, when I run the last cell, it takes 2 min to execute but no values of arima, tmse is being shown during or after execution, cell just executes that's all, pls help

paroxymal

Hi.. When I give (3, 2, 3)..i am getting np. Sqrt(mean_squared_error(shampoo_test, shampoo_forecast)) as 75..can u check?

StanleyJohnCharles

show me how to work with yearly data please instead of

helpyburhanuddin

I have 15 years temperature data, so how can I determine the trend by using multiple linear regression?

tsehayenegash

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