MelihGulum
Hello, I’m Melih GULUM. I work in the fields of machine learning and deep learning.
PIXSelectİstanbul, Turkey
Pinned Repositories
ASL-Recognition-CNN-OpenCV
American Sign Language Alphabet recognition with Deep Learning's CNN architecture
CIFAR-10-CNN-FLASK-Deployment
Classification of CIFAR dataset with CNN which has %91 accuracy and deployment of the model with FLASK.
Email-Spam-Detection
Would you like to know which e-mail is spam and which is ham?
Exploratory-Data-Analysis-EDA
Exploratory Dataset Analysis (EDA) will be uploaded to this repository. Libraries such as Pandas, Matplotlib, Seaborn and Plotly will be used for data analysis.
JavaCamp
MelihGulum
Music-Genre-Classification
This project aims to classify music genres. CNN architecture and GTZAN dataset were used for model training. Finally, a Web Application was made with Flask.
Sentiment-Analysis-and-Spam-Classification
In this project, sentiment analysis is made from the sentences of the model trained with LSTM and also SMS classification is made with Naive Bayes. Thereafter, a Web Application was made with Flask.
Tkinter-Projects
Welcome to my Tkinter repository.
Understanding-Librosa
MelihGulum's Repositories
MelihGulum/Exploratory-Data-Analysis-EDA
Exploratory Dataset Analysis (EDA) will be uploaded to this repository. Libraries such as Pandas, Matplotlib, Seaborn and Plotly will be used for data analysis.
MelihGulum/ASL-Recognition-CNN-OpenCV
American Sign Language Alphabet recognition with Deep Learning's CNN architecture
MelihGulum/Music-Genre-Classification
This project aims to classify music genres. CNN architecture and GTZAN dataset were used for model training. Finally, a Web Application was made with Flask.
MelihGulum/Understanding-Librosa
MelihGulum/CIFAR-10-CNN-FLASK-Deployment
Classification of CIFAR dataset with CNN which has %91 accuracy and deployment of the model with FLASK.
MelihGulum/Email-Spam-Detection
Would you like to know which e-mail is spam and which is ham?
MelihGulum/Sentiment-Analysis-and-Spam-Classification
In this project, sentiment analysis is made from the sentences of the model trained with LSTM and also SMS classification is made with Naive Bayes. Thereafter, a Web Application was made with Flask.
MelihGulum/JavaCamp
MelihGulum/Tkinter-Projects
Welcome to my Tkinter repository.
MelihGulum/MelihGulum
MelihGulum/Face-Mask-Detection
detect mask whether on or not
MelihGulum/Face-Recognition
MelihGulum/Facial-Emotion-Recognition
MelihGulum/Gender-Detection-OpenCV
Gender Detection with CNN
MelihGulum/MelihGLM
MelihGulum/SQL-Tutorials-and-Projects
MelihGulum/Voice-Assistant
Voice Assistant