The Complete Healthcare AI Course
Develop a comprehensive understanding of AI and machine learning, as well as practical experience in the development of models and the resolution of healthcare-related issues.
Description for The Complete Healthcare AI Course
Features of Course
A Wide Range of AI Techniques: Acquire knowledge of essential machine learning and deep learning techniques, such as activation functions, Markov models, and a variety of classifiers, including Random Forest, K-Nearest Neighbors, and Support Vector Machines.
Practical Projects: Utilize knowledge in five substantial healthcare-related projects, such as predicting taxi fares, diagnosing diseases, and detecting breast cancer, as well as one minor project for practical application.
Practical Experience: Acquire hands-on experience with well-known tools such as Pandas, Seaborn, Google Colab, Jupyter Notebook, and Keras to construct and analyze AI models.
Data Preprocessing and Model Evaluation: Utilize techniques such as one-hot encoding, data scaling, missing data management, and accuracy testing to evaluate model performance in conjunction with confusion matrices and ROC curves.
Level: Beginner
Certification Degree: Yes
Languages the Course is Available: 1
Offered by: On Udemy provided by Hoang Quy La
Duration: 29h 36m
Schedule: Full lifetime access
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