Udemy - Machine Learning, Deep Learning and Bayesian Learning

1. 03 - Machine Learning Numpy + Scikit Learn/012 CART part 2.mp4 170.49 MB
2. 12 - Pixel Level Segmentation (Semantic Segmentation) with PyTorch/009 Semantic Segmentation training with PyTorch Lightning.mp4 133.29 MB
3. 04 - Machine Learning Classification + Time Series + Model Diagnostics/005 Titanic dataset.mp4 119.09 MB
4. 09 - Deep Learning Recurrent Neural Nets/010 Sequence to Sequence models Prediction step.mp4 107.20 MB
5. 13 - Deep Learning Transformers and BERT/008 Pytorch Lightning + DistilBERT for classification.mp4 105.15 MB
6. 05 - Unsupervised Learning/002 Fashion MNIST PCA.mp4 104.54 MB
7. 09 - Deep Learning Recurrent Neural Nets/005 Deep Learning - Long Short Term Memory (LSTM) Nets.mp4 93.15 MB
8. 03 - Machine Learning Numpy + Scikit Learn/009 Linear Regresson Part 1.mp4 92.71 MB
9. 04 - Machine Learning Classification + Time Series + Model Diagnostics/007 Sklearn classification.mp4 92.15 MB
10. 04 - Machine Learning Classification + Time Series + Model Diagnostics/019 Area Under Curve (AUC) Part 1.mp4 86.13 MB
11. 09 - Deep Learning Recurrent Neural Nets/008 Sequence to Sequence Introduction + Data Prep.mp4 82.02 MB
12. 10 - Deep Learning PyTorch Introduction/006 Deep Learning with Pytorch Stochastic Gradient Descent.mp4 81.37 MB
13. 03 - Machine Learning Numpy + Scikit Learn/004 Kmeans part 1.mp4 80.25 MB
14. 04 - Machine Learning Classification + Time Series + Model Diagnostics/012 FB Prophet part 1.mp4 79.90 MB
15. 06 - Natural Language Processing + Regularization/009 Feature Extraction with Spacy (using Pandas).mp4 78.29 MB
16. 09 - Deep Learning Recurrent Neural Nets/007 Transfer Learning - GLOVE vectors.mp4 76.36 MB
17. 03 - Machine Learning Numpy + Scikit Learn/010 Linear Regression Part 2.mp4 73.27 MB
18. 14 - Bayesian Learning and probabilistic programming/005 Coin Toss Example with Pymc3.mp4 72.41 MB
19. 14 - Bayesian Learning and probabilistic programming/004 Bayesian learning Population estimation pymc3 way.mp4 72.26 MB
20. 08 - Deep Learning (TensorFlow) - Convolutional Neural Nets/008 Nose Tip detection with CNNs.mp4 70.33 MB
21. 03 - Machine Learning Numpy + Scikit Learn/015 Gradient Boosted Machines.mp4 69.24 MB
22. 12 - Pixel Level Segmentation (Semantic Segmentation) with PyTorch/006 PyTorch Hooks Step through with breakpoints.mp4 69.18 MB
23. 12 - Pixel Level Segmentation (Semantic Segmentation) with PyTorch/007 PyTorch Weighted CrossEntropy Loss.mp4 66.75 MB
24. 03 - Machine Learning Numpy + Scikit Learn/005 Kmeans part 2.mp4 64.70 MB
25. 02 - Basic python + Pandas + Plotting/005 Numpy functions.mp4 63.94 MB
26. 14 - Bayesian Learning and probabilistic programming/007 Bayesian Linear Regression with pymc3.mp4 61.51 MB
27. 07 - Deep Learning/009 Softmax theory.mp4 59.72 MB
28. 04 - Machine Learning Classification + Time Series + Model Diagnostics/018 Stratified K Fold.mp4 59.50 MB
29. 11 - Deep Learning Transfer Learning with PyTorch Lightning/009 Data Augmentation with Torchvision Transforms.mp4 57.88 MB
30. 07 - Deep Learning/007 MNIST and Softmax.mp4 57.10 MB
31. 14 - Bayesian Learning and probabilistic programming/009 Bayesian Rolling regression - pymc3 way.mp4 56.07 MB
32. 07 - Deep Learning/011 Batch Norm Theory.mp4 55.18 MB
33. 04 - Machine Learning Classification + Time Series + Model Diagnostics/017 Cross Validation.mp4 55.00 MB
34. 10 - Deep Learning PyTorch Introduction/005 Deep Learning with Pytorch Loss functions.mp4 53.70 MB
35. 10 - Deep Learning PyTorch Introduction/010 Deep Learning Intro to Pytorch Lightning.mp4 53.63 MB
36. 04 - Machine Learning Classification + Time Series + Model Diagnostics/008 Dealing with missing values.mp4 51.98 MB
37. 11 - Deep Learning Transfer Learning with PyTorch Lightning/006 PyTorch Lightning Trainer + Model evaluation.mp4 51.44 MB
38. 14 - Bayesian Learning and probabilistic programming/003 Bayes rule for population mean estimation.mp4 51.36 MB
39. 02 - Basic python + Pandas + Plotting/024 Seaborn + pair plots.mp4 50.86 MB
40. 01 - Introduction/002 How to tackle this course.mp4 50.03 MB
41. 13 - Deep Learning Transformers and BERT/007 Distilbert (Smaller BERT) model.mp4 49.95 MB
42. 05 - Unsupervised Learning/004 Other clustering methods.mp4 49.21 MB
43. 06 - Natural Language Processing + Regularization/016 Ridge regression (L2 penalised regression).mp4 48.10 MB
44. 04 - Machine Learning Classification + Time Series + Model Diagnostics/011 Loss functions.mp4 47.56 MB
45. 06 - Natural Language Processing + Regularization/005 NLTK + Stemming.mp4 46.69 MB
46. 02 - Basic python + Pandas + Plotting/020 Plot multiple lines.mp4 46.48 MB
47. 09 - Deep Learning Recurrent Neural Nets/003 Word2Vec keras Model API.mp4 46.28 MB
48. 08 - Deep Learning (TensorFlow) - Convolutional Neural Nets/003 Keras Conv2D layer.mp4 45.53 MB
49. 14 - Bayesian Learning and probabilistic programming/012 Variational Bayes Linear Classification.mp4 45.36 MB
50. 09 - Deep Learning Recurrent Neural Nets/001 Word2vec and Embeddings.mp4 45.01 MB