Emre Çiçekyurt's Projects
After applying Exploratory Data Analysis and Feature Engineering, the stroke prediction is done by using ML algorithms including Ensembling methods. 100% accuracy is reached in this notebook. The dataset is taken from https://www.kaggle.com/datasets/jillanisofttech/brain-stroke-dataset. Also, the notebook is available at my Kaggle account : https://www.kaggle.com/code/emreiekyurt/eda-prediction-100-on-brain-stroke-dataset/notebook
Hand Tracking, Pose Estimation, Face Detection and Face Mesh basics and module projects are included in this repository. Also, there will be related projects based on these modules
Personal Repository
A Flutter mobile app that provides booking stuff of stores online. XAMPP and phpMyAdmin is used for database. Related php files can be found in repository too.
A deep learning project on the dataset Food101
A robot powered training repository :robot:
This project is a ML project that predicts whether heart disease exists or not by considering the indicators. The dataset is available at Kaggle https://www.kaggle.com/datasets/kamilpytlak/personal-key-indicators-of-heart-disease with over 300k cases in it.
Machine Learning A-Z™: Hands-On Python & R In Data Science Course given in Udemy by two data science experts that are Kirill Eremenko and Hadelin de Ponteves.
This is a ML project that finds most related movies in the data called movies.csv. It uses Cosine similarity method to understand how much related a data sample with others. According to the movies that user likes, it gives a list of other genre and name related recommendations.
Real time face, smile and eye detection are done by using Haar Cascade classification.
TensorFlow Projects and Workspace. It is a representative repository that reflects the knowledge that I gained during learning Deep Learning with TensorFlow. Also, This repository has been prepared by considering the course that "TensorFlow Developer Certificate in 2022: Zero to Mastery" provided in Udemy
OpenCV is used to create a simple paint application that uses webcam of PC. Orange, red, green and blue colorful pens can be used to draw after project is run. Also, image processing by using OpenCV is explained by stacking images.
WildfireSmokeDetection with Yolov5
Creathon Project