Pinned Repositories
Airfoil
Algerian-Forest-Classification-and-Regression
BoneFracture_YOLOv8
BOOKS-and-SOURCES
CNNClassifierTemplate
DataManipulation
Deep-Learning-with-LandCover-Dataset
This project is about deep learning applications on land cover and usage dataset. The model we have applied are transfer learning with fine-tuning of VGG19 models, the convolutional neural network we have built and multi layer perceptron models. The results are evaluated based on accuracy, precision, recall, f1-score and confusion matrix
EDA-and-Feature-Engineering-
House-Price-Prediction
This is end to end machine learning model deployment example with docker and CI/CD
Visualization
nesibegul's Repositories
nesibegul/Airfoil
nesibegul/Algerian-Forest-Classification-and-Regression
nesibegul/BoneFracture_YOLOv8
nesibegul/BOOKS-and-SOURCES
nesibegul/CNNClassifierTemplate
nesibegul/DataManipulation
nesibegul/Deep-Learning-with-LandCover-Dataset
This project is about deep learning applications on land cover and usage dataset. The model we have applied are transfer learning with fine-tuning of VGG19 models, the convolutional neural network we have built and multi layer perceptron models. The results are evaluated based on accuracy, precision, recall, f1-score and confusion matrix
nesibegul/EDA-and-Feature-Engineering-
nesibegul/House-Price-Prediction
This is end to end machine learning model deployment example with docker and CI/CD
nesibegul/Visualization
nesibegul/Data-Science-ML-Full-Stack-2022
Everything you need to know for data science.
nesibegul/DEEP-LEARNING
nesibegul/deppCNNClassifier
nesibegul/EDA
nesibegul/EDA-and-FEATURE-ENGINEERING
nesibegul/feature-engineering-and-feature-selection
A Guide for Feature Engineering and Feature Selection, with implementations and examples in Python.
nesibegul/Flight-Fare-Model
Fligh Fare Prediction Webb App Project With Deployment
nesibegul/FullStackDataScience
nesibegul/Homeworks
nesibegul/Image-Processing
nesibegul/IntroToPython
Files associated with our book Intro to Python for Computer Science and Data Science
nesibegul/Machine-Learning-Project
nesibegul/nesibegul
Config files for my GitHub profile.
nesibegul/NLTK-with-IMDB-Data
Bag of Words (BOW) and TF_IDF preprocessing methods are applied for prediction of sentiment analysis in IMDB dataset. Only Randomforest Classification is applied. BOW and TF_IDF have same accuracy. however max_features in TF_IDF made increase in accuracy of the model from 85% to 86%
nesibegul/ohana-api
The open source API directory of community social services.
nesibegul/Perceptron_Implementation
Perceptron implementation with fundamental python libraries
nesibegul/Python
nesibegul/reviewscrapper
nesibegul/TASK
nesibegul/The-Grand-Complete-Data-Science-Materials