16.1. Gradient Boosting — Ocademy Open Machine Learning Book
16. Introduction to Gradient Boosting — Ocademy Open Machine Learning Book
16.2. Gradient boosting example — Ocademy Open Machine Learning Book
42.80. Hyperparameter tuning gradient boosting — Ocademy Open Machine ...
42. Self-paced assignments — Ocademy Open Machine Learning Book
17. Unsupervised learning — Ocademy Open Machine Learning Book
21. Intro to Deep Learning — Ocademy Open Machine Learning Book
26. Autoencoder — Ocademy Open Machine Learning Book
43. Slides — Ocademy Open Machine Learning Book
43.19. Model Selection — Ocademy Open Machine Learning Book
42.79. Decision trees — Ocademy Open Machine Learning Book
28. Image classification — Ocademy Open Machine Learning Book
15.4. Feature importance — Ocademy Open Machine Learning Book
42.106. Intro to Autoencoders — Ocademy Open Machine Learning Book
43.20. Convolutional Neural Network — Ocademy Open Machine Learning Book
15.3. Random forest — Ocademy Open Machine Learning Book
42.65. Kernel method assignment 1 — Ocademy Open Machine Learning Book
23.9. Stylenet / Neural-Style — Ocademy Open Machine Learning Book
20. Model selection — Ocademy Open Machine Learning Book
23. Convolutional Neural Networks — Ocademy Open Machine Learning Book
43.11. Machine Learning overview — Ocademy Open Machine Learning Book
42.74. Regularized Linear Models — Ocademy Open Machine Learning Book
42.72. Dropout and Batch Normalization — Ocademy Open Machine Learning Book
42.53. Build ML web app - assignment 1 — Ocademy Open Machine Learning Book
25. Time series — Ocademy Open Machine Learning Book
42.89. Introduction — Ocademy Open Machine Learning Book
8.2. The “low code/no code” way — Ocademy Open Machine Learning Book
43.17. Unsupervised learning — Ocademy Open Machine Learning Book
41.10. Pretraining on Unlabeled Data — Ocademy Open Machine Learning Book
42.42. Machine Learning overview - assignment 1 — Ocademy Open Machine ...
16.4. XGBoost + k-fold CV + Feature Importance — Ocademy Open Machine ...
42.88. Case Study: Debugging in Regression — Ocademy Open Machine ...
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42.71. Learning Curve To Identify Overfit & Underfit — Ocademy Open ...
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42.130. Complete the transformer architecture — Ocademy Open Machine ...
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