Muhammet Can ZEYNELOGLU's Projects
The CNN model has been developed by downloading the data set on the Kaggle platform.
Cifar10 veri seti üzerinde veri arttırma adımları gösterilmiştir.
Makine öğrenmesi veri ön işleme adımlarından olan Feature Engineering içerisinden feature selection ve feature extraction için küçük bir giriş.
Projects taking place in Python Bootcamp run by Global AI Hub.
The basics of clustering, which is one of the unsupervised learning techniques, are introduced.
New York Times dergisinde bulunan Spelling-Bee oyundan esinlenerek gerçekleştirilmiş bir kelime oyunudur.( Spelling-Bee is a word game based on the New York Times magazine.)
A movie recommendation system will be created over a data set containing the properties of 5000 movies, and we will be using the TfidfVectorizer function, which is frequently used in NLP, while developing this system.
The dataset contains player statistics for NRB Rookies. There are 1100+ observations in the train dataset with 19 variables excluding the target variable.Our goal is to predict the career years of NBA players.