Data Analysis

Working Duration: Sep 2023 - present

Building Energy Efficiency Optimizing:

I dove into analyzing 8 crucial building features (like relative compactness, surface area, and roof area) using a dataset of 768 entries from kaggle.com. The results were impressive: linear regression hit an accuracy of 0.89 for cooling load and 0.91 for heating load, while polynomial regression soared with 0.96 for cooling load and an outstanding 0.99 for heating load.

The Algae Growth:

This is the result of analysing a dataset called "The Algae Growth"(Kaggle ), using machine learning algorithms. Based on dataset, there are 7 factors affect the algae population in the environment: Light, Nitrate, Iron, Phosphate, Temperature, pH and CO2. According to data analysis charts, there is no sign of linear relation between features and target, leading to choose the Linear Regression algorithm for. Therefore the Polynomial Regression was selected as the possible algorithm to describe dataset and predict the new targets better.

More Projects are comming...