Machine Learning

Projects in Holberton School's Machine Learning specialization curriculum.

Table of Contents

• About
• Projects
• Author

About

These are the Machine Learning projects in Holberton School's ML specialization.

Projects

Trimester 1:

1. 0x00. Linear Algebra
2. 0x01. Plotting
3. 0x02. Calculus
4. 0x03. Probability
5. 0x01. Classification
6. 0x02. Tensorflow
7. 0x03. Optimization
8. 0x04. Error Analysis
9. 0x05. Regularization
10. 0x06. Keras
11. 0x04. Convolutions and Pooling
12. 0x07. Convolutional Neural Networks
13. 0x08. Deep Convolutional Architectures
14. 0x09. Transfer Learning

Trimester 2:

15. 0x05. Advanced Linear Algebra
16. 0x06. Multivariate Probability
17. 0x00. Dimensionality Reduction
18. 0x07. Bayesian Probability
19. 0x01. Clustering
20. 0x02. Hidden Markov Models
21. 0x03. Hyperparameter Tuning
22. 0x04. Autoencoders
23. 0x0D. RNNs
24. 0x0E. Time Series Forecasting
25. 0x0F. Natural Language Processing - Word Embeddings
26. 0x10. Natural Language Processing - Evaluation Metrics
27. 0x11. Attention
28. 0x12. Transformer Applications
29. 0x13. QA Bot

Trimester 3:

31. 0x00. Q-learning
32. 0x01. Deep Q-learning
33. 0x02. Temporal Difference
34. 0x03. Policy Gradients
35. 0x00. Pandas
36. 0x01. Data Collection - APIs
37. 0x02. Databases
38. 0x03. Data Preprocessing
39. 0x04. Data Augmentation
40. 0x05. ML Life Cycle
41. ML - Portfolio Project

Author

Justin Masayda @keysmusician

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