added project 4 files

project 4/.gitignore

+files/*
+!files/.gitkeep

project 4/pca.py

+# -*- coding: utf-8 -*-
+"""
+Created on Sun Dec 22 09:06:21 2019
+
+@author: made_
+"""
+# PCA on EEG datasets
+import numpy as np
+import pandas as pd
+from sklearn.preprocessing import StandardScaler
+from sklearn.decomposition import PCA, KernelPCA
+
+# import eeg features directly
+eeg_train = pd.read_csv('files/eeg_feats_train.csv').values
+eeg_test  = pd.read_csv('files/eeg_feats_test.csv').values
+y_train   = pd.read_csv('files/train_labels.csv').drop('Id', axis=1).values
+
+# scale
+scaler = StandardScaler()
+scaler.fit(eeg_train)
+eeg_train_s = scaler.transform(eeg_train)
+eeg_test_s  = scaler.transform(eeg_test)
+
+# perfrom pca
+pca = PCA(n_components=45, random_state=0)
+pca.fit_transform(eeg_train_s, y_train)
+#print('Explained Variance: %0.5f' % np.sum(pca.explained_variance_ratio_[0:45]))  # looks like 45 are enough
+
+# transform scaled eeg datasets
+eeg_train_mod = pca.transform(eeg_train_s)
+eeg_test_mod  = pca.transform(eeg_test_s)
+
+# write
+pd.DataFrame.to_csv(pd.DataFrame(eeg_train_mod), 'files/eeg_train_pca45.csv', index=False)
+pd.DataFrame.to_csv(pd.DataFrame(eeg_test_mod), 'files/eeg_test_pca45.csv', index=False)