Level Up Your AI Skills: Practical Emotion Detection with Machine Learning in 2 Days
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Honored to speak at a Data Science Workshop organized by Dunia Coding, attended by more than 25 participants. The workshop explored the end-to-end process of building a Machine Learning application, from developing a predictive model to preparing it for real-world use. The session covered the development of Machine Learning algorithms, model optimization through hyperparameter tuning, and performance evaluation to ensure the model produces reliable results. Participants also gained practical experience in deploying the trained model through a Streamlit-based web application, allowing users to perform predictions directly using their own input. The workshop concluded by emphasizing the importance of understanding the complete Machine Learning workflow, as building a model is only one part of developing an effective and usable AI solution.
Hilman Singgih Wicaksana
Lecturer and Researcher in Artificial Intelligence