Machine Learning-1 -Mini Project

A Binary Classification of raw data to train a classifier and classify MEMBERS (MEM) and NON-MEMBERS (NMEM) for any given data. Implementation is in Python language.

Converting raw data to CSV format

Two raw data files are given, we convert the files to CSV format.

1. ml1data.train.csv and
2. ml1data.test_unlabled.csv

We use "ml1data.train.csv" as input data for the algorithm and train the algorithm. We apply this algorithm on "ml1data.test_unlabled.csv" for making the predictions.

Classification using SVM

First we import the data "ml1data.train.csv" and use SVM classifier algorithm "Machine Learning project.py" to classify data and make predictions on "ml1data.test_unlabled.csv" for results.

We get the "predictions.txt" as result.