DSDA_Project_—_Ozone_Level_Detection.ipynb contains the code and explanation for the analysis of Ozone Level Detection dataset, obtained from UCI (https://archive.ics.uci.edu/ml/datasets/Ozone+Level+Detection), as a part of the Data Science and Data Analytics (CS695A) course.
The following methods were used:
- K-Nearest Neighbour
- Support Vector Machine
- Multilayer Perceptron Feed-Forward Network
Refer to the Jupyter Notebook for more details.