ParALleL frAmework for moDel selectIOn
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Updated
Oct 2, 2018 - Python
ParALleL frAmework for moDel selectIOn
Experiments with wave weather data from wave rider buoy off the local coast.
Statistical Methods for Data Science - master's degree course
Python Language. Code Files & Written Report. A brief overview of the project's goals and outcomes is given below.
Practice model assessment and optimization on the HR dataset using validation and dimensionality reduction techniques
Enhancing Network Intrusion Detection: An Online Methodology for Performance Analysis
Study heterogeneity and its effects from over 30,000 meta-analyses from the Cochrane Library Database.
The official GitHub page for the survey paper "A Survey on Evaluation of Large Language Models".
Upstream Repository for the NLP - Categories Testing Framework SAS Studio Custom Step. Automated enhancement to SAS Viya Natural Language Processing model development process. To be submitted to /sassoftware/sas-studio-custom-steps as well. Refer README for more details.
In this project, our dataset included 10,000 observations for each attribute. Utilizing SAS Enterprise Miner for comprehensive data preprocessing and model assessment. The ensemble model performance secured us the 10th rank among 43 teams on the Kaggle leaderboard.
Deliver safe & effective language models
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