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Overview
Creating powerful AI model for Real-World Healthcare applications with Data Science, Machine Learning and Deep Learning What you'll learn: Pandas. Matplotlib. Sigmoid activation function. Tanh activation function. Re LU activation function. Leaky Relu activation function. Exponential Linear Unit activation function. Swish activation function. Markov models. Support Vector Machines Other common classifiers Import data from the UCI repository. Convert text input to numerical data. Build and train classification algorithms. Compare and contrast classification machine learning. Building the AI. Machine learning and...
Syllabus
- Introduction (UPDATED 2024)
- Implementation of breast cancer detection (UPDATED 2024)
- Implementation of diabetes detection (UPDATED 2024)
- Implementation of DNA classification and Heart disease detection (UPDATED 2024)
- Discharge statuses detection for emergency department patients (UPDATED 2024)
- Introduction (OLD Content)
- Activation function (OLD Content)
- DNA Classification Project (OLD Content)
- Heart Disease Classification Project (OLD Content)
- Diagnosing Coronary Artery Disease Project (OLD Content)
Instructor
Hoang Quy La
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