Aziz Belaweid (@azayz)
github

azayz

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Top repositories

1

Tunisian-Arabic-Dialect-Sentiment-Analysis

Sentiment Analysis task on Tunisian and Arabic dialect, data augmentation for NLP and scrapping google maps for more data
Jupyter Notebook
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2

TweetAnalyserDisasterOrNot-NLP

This is my work on the kaggle comeptition Disaster or Not. It's about classifying tweets : tweets that are reporting actual and real disasters and tweets that aren't. In my work I used a lot of NLP techniques word2vec / TF-IDF / lemmitazation / Words clouds. In modeling I applied ensembling and boosting models to get best Results. Next up I ll try embeddings and BERT.
Jupyter Notebook
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3

EDA-ML-Global-Terrorism-Database

My work on the global terrorism database in Kaggle, my goal was to explore different machine learning algorithms, their validations and test out diffeent scoring metrics and perform EDA o n the Dataset.
Jupyter Notebook
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4

Financial-Inclusion-in-Africa-Competition

This is my work for AI HACK qualification, my goal was to explore as many classification models as i can, i tried some feature engineering techniques and modified multiple featues. The models I used are KNN, Random Forest, Decision Tree, MLP, AdaBoost, XGBoost I used ROC/AUC to compare between models and accuracy aswell finally I chose the best models and applied Stacking to them which gave me the best result. I explored aswell other techniques such as PCA, LDA and SMOTE because the data was unbalanced, I also built a small NN using Keras. The data can be found on Zindi : https://zindi.africa/competitions/financial-inclusion-in-africa/data
Jupyter Notebook
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5

Angular_GL4_Rainbow

TypeScript
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6

A_star_Taquin

Python
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7

flan-distributed

Distributing Flan Model using Jina Ecosystem
Python
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8

azayz

My portfolio repo
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9

Django_Training

Python
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10

FastAPI_Training

This repo contains my code for learrning FastAPI, CRUD, Async operations
Python
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11

Nest_js_CRUD_ToDo_App

TypeScript
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12

EPT-Hackathon-AI

My work during EPT's mini AI hackathon the goal was to create a regression model to help hotel pricing decision making using GridSearchCV along woth CatBoostRegressor I managed to get 4'th place. The data can be found on kaggle : https://www.kaggle.com/c/ai-mini-hackathon-ept/data
Jupyter Notebook
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13

Data-Colab-Engineering-Test

Data-Colab is a Tunisian NGO that aims to upgrade and help AI community in Tunisia, this is my work on their test to join their engineering department fortunately i was accepted. The test consists of 3 parts the first part is about computer vision and transfer learning the second part is about NLP and the third part is about general datascience and artificial intelligence.
Jupyter Notebook
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