Trouble-Free Concept in 5 min.

What is Time Series Forecasting ?

It is model to predict the future values based on previous observed values. It has certain data points at every time steps.

Time Series Applications :

Time Series widely used in non-stationary data such as

Stock Prices, Weather predictions , Economics, Retail sales etc…

Aspects when dealing with timeseries data :

  1. Stationarity
  2. Seasonality
  3. Auto Correlation


Learn in 5 min

What is Machine Learning?

Teaching or Training the machines to perform and predict the outcomes.

Types of machine learning

  • Supervised learning : Consists of features and labels
  • Un-Supervised learning : Consists of only features

Supervised Learning

Takes features and labels in training dataset to learn and predict the outcomes.

  • Classification
  • Regression

Un-Supervised Learning

Contains only features and extracts…

Akshith Kumar

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