6 of 6 Pandas Jobs in Glasgow

years of applied experience building production Python systems, including web/API services (Flask or FastAPI) and the ML/NLP ecosystem (scikit-learn, pandas, NumPy, spaCy, PyTorch or TensorFlow). Demonstrated experience taking machine learning models from prototype to production - training, packaging, deployment, monitoring, retraining, and decommissioning - in real ...

Python skills by building a car price prediction app using Python and Streamlit. Step 6 – Python for Data Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. Step 7 – AI Sentiment Analysis Project Work with Hugging Face to build a sentiment analysis classifier using real ...

adjacent techniques to solve real-world problems in industry or academia Strong Python programming skills and deep familiarity with the Python ecosystem (i.e. pandas, numpy, scikit-learn, pytorch, pip, pytest) Demonstrated ability to lead technical teams and initiatives with strong communication and stakeholder management skills Preferred Qualifications, Capabilities, and Skills ...

adjacent techniques to solve real-world problems in industry or academia Strong Python programming skills and deep familiarity with the Python ecosystem (i.e. pandas, numpy, scikit-learn, pytorch, pip, pytest) Demonstrated ability to lead technical teams and initiatives with strong communication and stakeholder management skills Preferred qualifications, capabilities, and skills ...

team is now expanding these capabilities into the Business Banking space. Required Skills Strong Python programming skills, including data analysis using libraries such as Pandas Strong understanding of Machine Learning, including both supervised and unsupervised techniques Experience with tree-based and boosting algorithms such as XGBoost, LightGBM, and related approaches ...

team is now expanding these capabilities into the Business Banking space. Required Skills Strong Python programming skills, including data analysis using libraries such as Pandas Strong understanding of Machine Learning, including both supervised and unsupervised techniques Experience with tree-based and boosting algorithms such as XGBoost, LightGBM, and related approaches ...