yassinassafi

Data Scientist

Data ScienceTech InstituteParis, France

Pinned Repositories

ransomware-preencryption-detector
Creation of a web application for detecting ransomware at pre-encryption stage using machine learning.
Language:Jupyter Notebook7 1 15
bank-customer-churn-prediction
Training multiple neural networks in order to get the highest accuracy on the bank customers churn prediction problem.
Language:Jupyter Notebook0 1 01
fresh-pivoted-survey-answers
The project aims to enforce an “always fresh” data policy in a database view of pivoted survey answers, from both inside the database with T-SQL and outside with programmatic access using Python.
Language:Python1 1 00
semantic-web-technologies
50 hours worth of practical exercises about Linked Data and Semantic Web technologies, covering RDF, SHACL, SPARQL, RDFS, OWL, SKOS, FOAF, Dublin Core and other popular vocabularies. The practical exercises are done using the software Corese.
0 1 00
word-sense-disambiguation
Language:Jupyter Notebook00
WQU-data-science-challenges
I successfully completed a 2-unit, 16-week and 6 mini-projects of the Data Science module at WorldQuant University. The mini-projects included scientific computing, data wrangling, machine learning and natural language processing with Python.
Language:Jupyter Notebook35 2 021

yassinassafi/WQU-data-science-challenges
I successfully completed a 2-unit, 16-week and 6 mini-projects of the Data Science module at WorldQuant University. The mini-projects included scientific computing, data wrangling, machine learning and natural language processing with Python.
Language:Jupyter Notebook35 2 021
yassinassafi/fresh-pivoted-survey-answers
The project aims to enforce an “always fresh” data policy in a database view of pivoted survey answers, from both inside the database with T-SQL and outside with programmatic access using Python.
Language:Python1 1 00
yassinassafi/bank-customer-churn-prediction
Training multiple neural networks in order to get the highest accuracy on the bank customers churn prediction problem.
Language:Jupyter Notebook0 1 01
yassinassafi/semantic-web-technologies
50 hours worth of practical exercises about Linked Data and Semantic Web technologies, covering RDF, SHACL, SPARQL, RDFS, OWL, SKOS, FOAF, Dublin Core and other popular vocabularies. The practical exercises are done using the software Corese.
0 1 00
yassinassafi/word-sense-disambiguation
Language:Jupyter Notebook00
yassinassafi/llm-bootcamp-build-2023
Fine-tuning and Deploying the LLM model Llama 2 from Hugging Face in Snowpark Container Services.