Outcome
- Build and deploy machine learning models with Python.
- Apply data preprocessing techniques effectively.
- Implement various machine learning algorithms.
- Analyze and interpret machine learning results.
- Solve real-world problems using machine learning techniques.
Applied Machine Learning with Python
13 students
Outcome
- Build and train advanced neural network models.
- Implement convolutional and recurrent neural networks.
- Apply deep learning techniques to complex problems.
- Understand the theory and application of deep learning algorithms.
- Utilize industry-standard deep learning tools and frameworks.
Neural Networks and Deep Learning
13 students
Outcome
- Understand fundamental AI concepts.
- Develop basic AI applications using Python.
- Apply machine learning algorithms to simple problems.
- Explore natural language processing basics.
- Gain a foundational understanding of AI tools and frameworks.
Introduction to AI with Python
13 students
Outcome
- Apply machine learning techniques to business problems.
- Develop predictive models for business insights.
- Analyze and interpret data to make informed decisions.
- Understand the role of machine learning in modern business.
- Build practical solutions for business applications using Python.
Machine Learning for Business Applications
13 students