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  • Class and Course

    Applied Data Preparation and Visualization

    • Gain an updated understanding of AI trends and refresh your Python skills, enabling you to utilize key libraries for AI development.  

    • Acquire expertise in data handling with Pandas and Numpy, and apply machine learning techniques for data preparation. 

    • Develop the ability to clean data, engineer features, and construct machine learning models using sklearn effectively. 

    • Learn comprehensive data annotation tools and methodologies, ensuring high-quality data for AI models. 

    • Design engaging visuals with Plotly and develop interactive web applications using Streamlit. 

    • Understand how to initiate and manage AI projects, orchestrate data, and deploy machine learning models using Dataiku’s visual interface and MLOps practices.  


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