doguilmak Goto Github PK

followers: 33.0 following: 39.0 repos: 102.0 gists: 0.0

Name: Doğu İlmak

Type: User

Bio: I’m an engineer and web developer who is passionate about artificial intelligence and full stack development.

Twitter: Doguilmak

Location: Ankara

Languages and Tools:

More...

Doğu İlmak's Projects

parallax-website-with-cave-theme

In this project, a parallax web page (3D effect) was created with the cave picture.

parallax-website-with-mountains-and-lake-theme

In this project, a parallax web page (3D effect) was created with the mountains and lake theme.

perifocal-and-eci-coordinate-transformation

Perifocal and earth-centered inertial coordinate transformation with using Python and Excel.

plotting-and-analyzing-real-estate-prices-in-poland

The purpose of this study is plot and analyzing mean, median, standard deviation, variance, skewness and kurtosis of the real estate prices in various regions in Poland.

pneumonia-or-normal-classification-via-ibm-cv-studio

Pneumonia or Normal classification made via IBM CV Studio. You can classify your X-Ray images on IBM cloud.

portfolio-structure

In this project, structure fo a responsive portfolio web page was created for almost all devices.

predict-breast-cancer-class

The purpose of this study that with XGBoost and Artificial neural networks models estimated whether breast cancer is benign or malignant.

predict-heating-and-cooling-load

The aim is to use the eight features to predict each of the two responses (heating and cooling loads) with multi-output architecture.

predict-iris-class-with-classification-models

Iris class was tried to predict from sepal length, sepal width, petal length and petal width.

predict-kepler-exoplanet-search-results

Predicting disposition with XGBoost and Artificial neural networks and the confidence in the KOI Disposition with Multiple linear regression.

predict-student-marks-with-regression

In this project, grade estimation was made through Multiple linear and Polynomial regression models in line with the number of courses and the time they worked.

predicting-heart-disease-class

Based on the data, it was predicted whether the patient is absent or presence with heart disease with XGBoost and artificial neural networks.

predicting-nephritis-of-renal-relvis-origin

The purpose of this study is; based on the available data, it was estimated whether the person suffered from renal pelvis origin nephritis using classification algorithms.

predicting-object-class-galaxy-star-or-quasar

The purpose of this study is to predict whether the class is GALAXY, STAR or QUASAR based on the available dataset.

predicting-solar-flares

Multi-output and XGBoost models have been created which can estimate numbers of the solar flares production in specific region on sun in the following 24 hours.

pt08.s2-titania-prediction-with-linear-regression-polynomial-regression

The purpose of this study is to predict the PT08.S2 (titania) based on Benzene concentration.

random-seleciton-upper-confidence-bound-and-thompson-sampling-on-advertising-preference

The purpose of this study is to predict which ad will be the most preferred by the customers over the fictitious ads clicked by the users.

reactions-and-internal-forces-on-the-bridge

Calculating internal forces (M, N, T) and reactions of supports in the bridge structure using spring and plane frame elements.

rock-paper-scissors-with-thompson-sampling

The aim of this project is to achieve maximum success by the algorithm in the rock-paper-scissors game with the reinforcement learning.

satellite-tracking-with-frame-transformations

Satellite tracking on the polar graph with frame transformations.

shopping-with-association-rules-analysis

Create relation between the people who buy the products and the products they might buy with the association rules analysis.

spatial-filtering-with-opencv

Spatial operations use pixels in a neighborhood to determine the present pixel value. Applications include filtering and sharpening.

t-shirt-k-means-clustering

The aim of this study is to cluster the t-shirts produced with the same type of fabric according to their weight and area (m²) values.

three-temperature-threshold-on-arduino-lilypad

Creating three temperature threshold on Arduino Lilypad.

toxic-tweet-analysis

With PAC and XGBoost classifiers, two models have been developed to predict toxic or non-toxic tweets.

In this project, a responsive web page was created for 4 different devices. The web page has been developed to be compatible with 1920, 1366, 10 inc Samsung Galaxy Tab and iPhone X, XS and 11 Pro models.

wheel-detection

The aim of this project is to create a tire detection model. In the creation of this object detection model, ResNet50 and Object Detection API have been used.

wildfire-prediction-from-satellite-imagery

Building models that can predict whether an area is at risk of a wildfire or not on satellite images.

wine-type-and-quality-prediction

Building classification and regression models to predict quality and type of the wine.

x-ray-classification-website-with-flask-1

Website was created that allows you to make X-ray diagnosis prediction by using the CNNs machine learning algorithm model.

doguilmak Goto Github PK

Languages and Tools:

Doğu İlmak's Projects

Recommend Projects

Recommend Topics

Recommend Org