Link for My EEE-212 Course Project [in Bilkent University]

Link: https://os.mbed.com/teams/Bilkent-University-EEE-212-Spring-2018-S/code/eee212projectWithSD/

Topic: We used the FRDM-KL25Z board to build a Morse encoder-decoder machine which has various input and output options for users. The other member of the team was Can Soygür, who is now a senior year EE student in my university.

TR:
Konu: FRDM-KL25Z tahtası kullanarak bir Morse kodlayıcı-çözücü makine oluşturduk. Makinenin kullanıcılar için çeşitli girdi çıktı seçenekleri bulunuyor. Takımın diğer üyesi okuduğum bölümümde şu an son sınıfta olan Can Soygür'dü.

House Price Predictor Project (Machine Learning Implementation Using Python-3)

                                         Bilkent University EEE 485 Term Project Report

Members of the Group:

Ceyhun Emre Öztürk/ Dep.: EE

Ömer Musa Battal/ Dep.: EE

Project Phase: 

3 (Last Phase)

Introduction:

In this project, we are implementing a house price predictor using several machine learning approaches. We used Python programming environment to apply machine learning. Our dataset was constructed by extracting data from zingat.com and sahibinden.com. We used 3 different learning methods that were shown in class to find predictions of house prices. These methods are Linear Regression, K-means Clustering and SNN (Shallow Neural Network). We used K-means clustering to divide house notices into the groups according to their features. This way, we had a purpose of getting rid of nonlinearities of our dataset. Then, we applied Linear Regression separately in each cluster.