Pinned Repositories
-Indoor-User-Movement-Prediction-from-RSS-data
18-Fall-Math388E
bitirme
Computer program was coded using Machine Learning methods with Python programming language. Face data was imported from dataset and accuracy values were computed comparing true data with predicted data. Principal Component Analysis (PCA) algorithm and Anaconda framework was used in software.
Defect-Detection
depremadres-intent-classification-v0
ING-Datathon-Iyzico-Project
This competition is organized with the cooperation of ING, iyzico, and the Student Club of Operational Research at Bogazici University. iyzico founded in 2013, iyzico is the brainchild of German-born Turks, Barbaros Özbuğutu and Tahsin Isın, who moved from Germany to Turkey to set up the business. Started out with 3 people, iyzico is now Turkey’s fastest growing fintech company composed of more than 130 people providing secure payment solutions to online sellers of different sizes as well as online shoppers.
ING-Datathon-PepsiCo-Project
This competition is organized with the cooperation of ING, PepsiCo, and the Student Club of Operational Research at Bogazici University. In this competition we will work with a challenging time-series data set consisting of monthly sales data for 3 years. This sales are only Snacks data in PepsiCo for 500 customers (grocery, kiosk etc) with their demographic data, placed in Istanbul Turkey. We are asking you to predict total sancks sales for every store in the next months.
Ion-Switching
In this Kaggle competition, we will predict the number of open_channels present, based on electrophysiological signal data. The data is from discrete batches of 50 seconds long 10 kHz samples (500,000 rows per batch). In other words, the data from 0.0001 - 50.0000 is a different batch than 50.0001 - 100.0000, and thus discontinuous between 50.0000 and 50.0001.
Kodens
Kodens is an online coding platform. It is independent project.
Perceptrons
yilmazalp's Repositories
yilmazalp/-Indoor-User-Movement-Prediction-from-RSS-data
yilmazalp/18-Fall-Math388E
yilmazalp/bitirme
Computer program was coded using Machine Learning methods with Python programming language. Face data was imported from dataset and accuracy values were computed comparing true data with predicted data. Principal Component Analysis (PCA) algorithm and Anaconda framework was used in software.
yilmazalp/Defect-Detection
yilmazalp/depremadres-intent-classification-v0
yilmazalp/ING-Datathon-Iyzico-Project
This competition is organized with the cooperation of ING, iyzico, and the Student Club of Operational Research at Bogazici University. iyzico founded in 2013, iyzico is the brainchild of German-born Turks, Barbaros Özbuğutu and Tahsin Isın, who moved from Germany to Turkey to set up the business. Started out with 3 people, iyzico is now Turkey’s fastest growing fintech company composed of more than 130 people providing secure payment solutions to online sellers of different sizes as well as online shoppers.
yilmazalp/ING-Datathon-PepsiCo-Project
This competition is organized with the cooperation of ING, PepsiCo, and the Student Club of Operational Research at Bogazici University. In this competition we will work with a challenging time-series data set consisting of monthly sales data for 3 years. This sales are only Snacks data in PepsiCo for 500 customers (grocery, kiosk etc) with their demographic data, placed in Istanbul Turkey. We are asking you to predict total sancks sales for every store in the next months.
yilmazalp/Ion-Switching
In this Kaggle competition, we will predict the number of open_channels present, based on electrophysiological signal data. The data is from discrete batches of 50 seconds long 10 kHz samples (500,000 rows per batch). In other words, the data from 0.0001 - 50.0000 is a different batch than 50.0001 - 100.0000, and thus discontinuous between 50.0000 and 50.0001.
yilmazalp/Kodens
Kodens is an online coding platform. It is independent project.
yilmazalp/Perceptrons
yilmazalp/DigitRecognition
Computer program recognizes digits in given data.
yilmazalp/HousePrice
Computer program predicts hotel prices base on feature data of hotels.
yilmazalp/Logistic-Regression
yilmazalp/MAT388E
Data Analysis in Fundamental Sciences
yilmazalp/Multinomial-Logistic-Regression
yilmazalp/SVM-Classification
yilmazalp/SVM-Regression
yilmazalp/Titanic
Analysis of Titanic dataset on Kaggle.
yilmazalp/University-Registration