ASHRAE---Great-Energy-Predictor-III- Time series data

This is the final project for the machine learning course.

Problem: How much energy will a building consume?

In this project, I implemented the following:

EDA
Data cleansing(Filling nulls & Handling outliers)
Feature Engineering
Optimize memory usage(The data had 20 million entries)
Built a Data preperation pipeline that takes the raw data and returns the preprocessed data, ready for the ML model: Used all variables types(numbers, text)
Trained the data using decision trees, neural networks, and linear regression.
Used Cross Validation
Developed a standalone Colab notebook that gets the saved model and makes prediction on new data