In this video you'll witness how Time series analysis works with simple python libraries and forecasting methods like ARIMA and SARIMA.
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Here are the timestamps where you can switch to different topics
00:16 Introduction to Time series Analysis using Python Libraries
00:32 How to use Google Colab
01:44 What is Time Series
03:12 Stopwatch video link
03:36 Topics Covered in this Video
03:39 Difference between Forecasting and Machine learning Prediction
05:46 How Date-Time gonna work using Simple Python Library
12:09 Usage of Pandas Library in Time Series Analysis
15:00 Download Data set from - tinyurl.com/data-webinar
17:20 Importing the Dataset
18:39 Importing essential libraries
24:05 Making you data understandable into specific format
35:56 Indexing with Time Series Data [Data Cleansing]
39:46 Understand the slicing concept
43:31 Understanding trends in Seasonality and Noise
49:04 What is Arima Time Series Analysis
01:03:33 Forecasting the data
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