Rain Prediction Model Using Random Forest

Inspiration

One day I was with my friends and we were discussing about stock and how it works. So it fascinated me that what if I will be able to predict stock. That day I thought of learning AI/ML. And this Rain Prediction Model is was my first successful model.

What it does

This is basically Machine Learning Model which predicts whether it will be rain or not.

How we built it

To built this, I use Machine Learining Algorithm; Random forest. And to predict results I use train-test model.

Challenges we ran into

I was finding hard to tackel with the low accuracy score. Strong data filtering had to done to increase accuracy.

Accomplishments that we're proud of

I am happy that I learn AI/Ml. I consistely follow my work and and now I fell, I am on a state where I can tell that yes, I actually know how to predicts things.

What we learned

I learn how to analyse data. How to deal with excel files. I learn how how to plot graphs and change there parameters. I successfully learn Machine learning and Data Science. I even got good command on python language.

What's next for Rain Prediction Model Using Random Forest

This model need to have better accuracy so that it can actually be impleted. Its parametes need to normalise which should be at basic level and easily gatherable.

Built With

• excel
• google-colab
• matplot
• numpy
• pandas
• python
• random-forest-model