betuleren Goto Github PK
Name: Betul Eren
Type: User
Location: Sweden
Name: Betul Eren
Type: User
Location: Sweden
Evaluation of Deep Learning Strategies for Nucleus Segmentation in Fluorescence Images
Information on datasets shared on the AIDA data hub.
AIDA Data Hub website
My Notes: Data Manipulation with Numpy and Pandas
My Notes: Data Preprocessing for Outliers, Missing Values and Data Standardization
Deep Learning Papers on Medical Image Analysis
Deep Learning Toolkit for Medical Image Analysis
My Notes: Exploratory Data Analysis and Visualization
Files associated with our book Intro to Python for Computer Science and Data Science
My Notes: Machine Learning for Data Science
Tumour is formed in human body by abnormal cell multiplication in the tissue. Early detection of tumors and classifying them to Benign and malignant tumours is important in order to prevent its further growth. MRI (Magnetic Resonance Imaging) is a medical imaging technique used by radiologists to study and analyse medical images. Doing critical analysis manually can create unnecessary delay and also the accuracy for the same will be very less due to human errors. The main objective of this project is to apply machine learning techniques to make systems capable enough to perform such critical analysis faster with higher accuracy and efficiency levels. This research work is been done on te existing architecture of convolution neural network which can identify the tumour from MRI image. The Convolution Neural Network was implemented using Keras and TensorFlow, accelerated by NVIDIA Tesla K40 GPU. Using REMBRANDT as the dataset for implementation, the Classification accuracy accuired for AlexNet and ZFNet are 63.56% and 84.42% respectively.
predicting NFL play yardage using neural networks
Project: Natural Language Processing for Sentiment Analysis and Classification Models
PROJECT: Predicting Diabetes Using Machine Learning Models
My Notes: Basic Codes, Data Structures and Basic Functions for Python
Findings from Stackoverflow 2017
My Notes: Basic Statistics for Data Science
Project: Testing Session Duration for an Online Shopping Site
Kaggle Project: Predicting Which Passengers Survived the Titanic Shipwreck Using Machine Learning to Create Models
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.