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Perform Time series modelling using Facebook Prophet

In this project, we are going to talk about Time Series Forecasting to predict the electricity requirement for a particular house using Prophet.

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What will you learn

  • Time series forecasting using ARIMA
  • Time series forecasting using Prophet
  • Implementing Prophet
  • Knowing advantages of Prophet
  • Using Bayesian Method of forecasting

What will you get

  • Access to recording of the complete project
  • Access to all material related to project like data files, solution files etc.

Prerequisites

  • Install PyStan, Jupyter Notebook and Anaconda
  • Language used: Python

Project Description

There are various methods to perform time series forecasting. Traditionally people have used AR, MA or ARIMA based models to perform forecasting. Prophet is an open source forecasting tool built by Facebook. It can be used for time series modeling and forecasting trends in the future. The advantage of using Prophet over traditional libraries is that one does not need to know the technicalities of time series, domain knowledge is not really required to do time series forecasting. In this Hackerday we are going to use Prophet vs other methods to do the benchmarking.

Instructors

 
Pradeepta

Curriculum For This Mini Project

 
  Data Set
00:02:23
  Introduction to Prophet
00:02:45
  Installation Steps
00:00:38
  Why Prophet
00:11:29
  Features of Prophet
00:09:51
  How Prophet works
00:03:59
  Import Data Set
00:04:23
  Data Transformation
00:03:33
  Calling Prophet
00:03:50
  Forecasting using Prophet
00:11:53
  Importing Libraries
00:02:36
  Load new Data Set
00:06:55
  Basic Statistics
00:06:11
  Feature Engineering
00:03:17
  Visualization
00:12:17
  Lag Calculation
00:02:10
  Train Test Split
00:02:52
  Linear Model
00:04:02
  Prediction
00:02:08
  Initialization
00:06:54
  Stationarity Test
00:05:03
  Decompose Time Series
00:02:43
  Arima Model
00:03:44
  Using Prophet
00:04:44
  Using Keras
00:08:34
  Conclusion
00:01:29