Inspiration

Waste of electrical energy is a big crisis since there are a lot of places in the world where they don't even get any electricity and with the inflation rising we don't want to pay more than we are using it so that's where the idea of Energy prediction came from

What it does

Energy Prediction by it's name predicts the amount of energy that will be needed in future, we trained this model with the help of the data set available of kaggle and it's accurate for most of the time

How I built it

We used Jupyter Notebook to train the model and used data set available from kaggle

Challenges I ran into

I was completely new in machine learning so it was my first encounter with it but with the help of some very useful and into the point tutorials I was able to work it out

Accomplishments that I'm proud of

I am proud that I was able to make it work and get a somewhat similar predictions even though it was my first ML project

What I learned

I learned about Jupyter Notebook, how to use it, fundamentals of ML and how ML works

What's next for Energy Prediction

I am looking forward to make it more accurate

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