- Duration: 1 Month
- Schedule: Saturdays & Sundays (3 hours per day)
- Total Hours: 24 Hours
10. Time Series Analysis
- AR model
- Components of TSA
- Stationarity
- ACF & PACF
11. Model Tuning:
- Cross Validations
- Oversampling/Under sampling
- Hyperparameter Tuning: Grid Search
12. Deep Learning
- Multilayer Feedforward Neural Networks
- Activation function (sigmoid/tanh/softmax/ReLU, etc.
- Error backpropagation method
- Gradient descent method
13. Capstone Project.
You'll be presented with a real-time industry scenario and accompanying datasets. Your task will be to develop a comprehensive solution, adhering to professional standards in architecture design, data pipelines, coding best practices, and culminating in a demonstrable project for evaluation.
14. Mock Interviews.
You'll be interviewed by experienced Machine Learning practitioners.
9. Brainstorming session with AI Leaders
Strategic Dialogue with AI Visionaries.
