Machine Learning Process

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Let's say we want to build a Machine Learning model which predicts the electrical load on a particular day and month. Predicting electrical load is helpful for the companies so that they can be better prepared for festival seasons and other unforeseen circumstances when the load is high.

To build such a system, we first train the model using the past historical data. Below is the description of the fields in the historical data.

Electrical Load Dataset

  • Date Time - The date and time at which load was recorded
  • Temperature - The temperature in Celsius at the time load was recorded
  • Humidity - The humidity at the time load was recorded
  • Wind Velocity - The wind velocity at the time load was recorded
  • Load - The electrical load at a particular Date Time

How many instances are there in the above data?

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