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  <h1>
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- <img src="./skills_logo.png" alt="Logo" width="30" height="30">
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  In-demand Skill Monitoring for Machine Learning Industry
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  </h1>
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  This projects aims to monitor in-demand skills for machine learning roles. Skills are extracted with a BERT-based skill extraction model called JobBERT, which is continously fine-tuned on the job postings. The skills are monitored/visualized by: 1. embedding the extracted skills tokens into vector form, 2. performing dimensionality reduction with UMAP, 3. visualizing the reduced embeddings.
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- ![Header Image](header.png)
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  ### [Monitoring Platform Link](https://huggingface.co/spaces/Robzy/jobbert_knowledge_extraction)
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  <h2>
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- <img src="./skills_logo.png" alt="Logo" width="30" height="30">
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  Architecture & Frameworks
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  </h2>
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  Extracted skills are embedded, reduced and clustered with an embedding model, UMAP and K-means respectively.
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  ### 6. Pipeline Flow
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  <div align="center">
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- <img src="in-demand-flow.png" alt="Flow Image">
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  </div>
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  # Job Scraping
 
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  <h1>
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+ <img src="./images/skills_logo.png" alt="Logo" width="30" height="30">
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  In-demand Skill Monitoring for Machine Learning Industry
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  </h1>
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  This projects aims to monitor in-demand skills for machine learning roles. Skills are extracted with a BERT-based skill extraction model called JobBERT, which is continously fine-tuned on the job postings. The skills are monitored/visualized by: 1. embedding the extracted skills tokens into vector form, 2. performing dimensionality reduction with UMAP, 3. visualizing the reduced embeddings.
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+ ![Header Image](./images/header.png)
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  ### [Monitoring Platform Link](https://huggingface.co/spaces/Robzy/jobbert_knowledge_extraction)
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  <h2>
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+ <img src="./images/skills_logo.png" alt="Logo" width="30" height="30">
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  Architecture & Frameworks
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  </h2>
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  Extracted skills are embedded, reduced and clustered with an embedding model, UMAP and K-means respectively.
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  ### 6. Pipeline Flow
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  <div align="center">
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+ <img src="./images/in-demand-flow.png" alt="Flow Image">
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  </div>
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  # Job Scraping