Overview / Usage

Using Machine Learning techniques like SVM and Naive Bayes to predict patterns from the given dataset

Methodology / Approach

Objective of this project is to classify the signal observed by a telescope either as a "Gamma signal" or "background signal" using different Machine Learning algorithms

Training and test data is obtained from UCI Machine learning Repository (https://archive.ics.uci.edu/ml/datasets/magic+gamma+telescope)

Three classifiers namely Decision Tree, KNN and SVM are implemented using Python Scikit Library and accuracy is calculated across the classifiers and performance is compared.

Technologies Used

Python

Repository

https://github.com/cishwarya/Classification_ML_project