Muhammet Can ZEYNELOGLU's repositories
introduction_unsupervised_learning_clustering
The basics of clustering, which is one of the unsupervised learning techniques, are introduced.
predict_career_longevity_for_nba_rookies
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.
nlp_recommender_movies
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.
feature-selection_feature-extraction
Makine öğrenmesi veri ön işleme adımlarından olan Feature Engineering içerisinden feature selection ve feature extraction için küçük bir giriş.
global_ai_hub_projects
Projects taking place in Python Bootcamp run by Global AI Hub.
java-spelling_bee_game
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.)
data-augmentation
Cifar10 veri seti üzerinde veri arttırma adımları gösterilmiştir.
basic-pneumonia-cnn-model
The CNN model has been developed by downloading the data set on the Kaggle platform.