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American University of Beirut
- Beirut, Lebanon
- https://www.linkedin.com/in/hiyam-ghannam-50749519b/
- @HiyamGhannam2
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news-fetch Public
Forked from santhoshse7en/news-fetchA Python Package which helps to scrape all news details from any news websites
Python MIT License UpdatedJul 13, 2023 -
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Mathematics-for-ML Public
Forked from dair-ai/Mathematics-for-ML🧮 A collection of resources to learn mathematics for machine learning
UpdatedMay 29, 2022 -
machine-learning-interview Public
Forked from khangich/machine-learning-interviewMachine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.
UpdatedMay 11, 2022 -
dementia Public
Dementia Prediction by Khalil El Asmar, Fatima Abu Salem, Hiyam Ghannam, Roaa Al-Feel
data-science machine-learning tensorflow feedforward-neural-network imbalanced-data maml meta-learningJupyter Notebook UpdatedJan 3, 2022 -
Predicting Demand in Primary Health Care Centers in Lebanon: Insight from Syrian Refugees Crisis
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fake_news_detection Public
Forked from fakenewssyria/fake_news_detectionFake News detection based on the FA-KES dataset
Python UpdatedJun 14, 2021 -
DataScienceTutorials Public
Data Science Tutorials for CMPS 276/396X at AUB
Python UpdatedSep 27, 2020 -
maml Public
Forked from haebeom-lee/mamlMAML implementation (tensorflow)
Python UpdatedApr 25, 2019 -
cluster_identification Public
Forked from riedlma/cluster_identificationdataset and source code for clustering and detecting newspapers articles
Python UpdatedApr 8, 2019 -
SMOGN-LIDTA17 Public
Forked from paobranco/SMOGN-LIDTA17SMOGN: a Pre-processing Approach for Imbalanced Regression - LIDTA2017
R UpdatedAug 1, 2017 -
Nested-Cross-Validation-with-XGBoost Public
Forked from HashiamKadhim/Nested-Cross-Validation-with-XGBoostNested Cross Validation implementation with XGBoost
Jupyter Notebook UpdatedMay 9, 2017 -
Relevance-basedMulticlassImbalanceMetrics Public
Forked from paobranco/Relevance-basedMulticlassImbalanceMetricsCode and data for paper "Relevance-based Evaluation Metrics for Multi-class Imbalanced Domains" - PAKDD 2017