Code for the paper "Gaussian Process Classification as Metric Learning for Forensic Writer Identification", published at DAS 2018
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Updated
May 3, 2018 - Python
Code for the paper "Gaussian Process Classification as Metric Learning for Forensic Writer Identification", published at DAS 2018
Skytrax Airlines Customer Satisfaction Analytics - This is my capstone project for General Assembly.
Machine learning projects i have done so far in various training program and at the University.
classify network attacks with neural network
google bert multi-class text classifiation
📚 Multi-class classification in IRIS dataset using Deep Neural Network
A deep learning model to classify Traffic Signals.
A keras multiclass classification on Kaggle Weed Detection Dataset
Dataset from kaggel
An aggregator that collects and classifies Car ads published mostly in the Arabic language on four major websites in Egypt and KSA.
BERT (Bidirectional Encoder Representations from Transformers) is a transformer-based method of learning language representations. It is a bidirectional transformer pre-trained model developed using a combination of two tasks namely: masked language modeling objective and next sentence prediction on a large corpus.
Models for multi-class classification implimented in pytorch
Multi-class classification of drug resistance in MTB clinical isolates
A kernel SVM practice on MNIST handwritten digits image dataset.
Applying AI to medical use cases: Diagnoses of lung and brain disorders, Building risk models and survival estimators for heart disease via RF, and Using NLP to extract information from radiology reports.
A collection of papers produced on the theory of boosting as applied to binary classification. Further extensions to the multi-class classification problem and necessary and sufficient conditions to ensure boostability i.e. weak learning conditions. Finally, an overview over boosting algorithms and models employed in industry.
Decision tree classifier for multi-class classification WITHOUT any advanced libraries like Pandas, Numpy, Scikit-learn, etc.
Determine Handwritten Digits using Neural Network
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