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

Data: https://www.kaggle.com/c/ashrae-energy-prediction/data