[ ] Machine Learning Bookcamp, Video Edition
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Torrent File Content (59 files)
[ TutPig.com ] Machine Learning Bookcamp, Video Edition
Get Bonus Downloads Here.url -
Get Bonus Downloads Here.url -
176 bytes
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1 - Chapter 1 Introduction to machine learning.mp4 -
1 - Chapter 1 Introduction to machine learning.mp4 -
75.15 MB
10 - Chapter 2 Validating the model.mp4 -
67.55 MB
11 - Chapter 2 Regularization.mp4 -
38.57 MB
12 - Chapter 2 Using the model.mp4 -
40.8 MB
13 - Chapter 3 Machine learning for classification.mp4 -
62.72 MB
14 - Chapter 3 Initial data preparation.mp4 -
51.12 MB
15 - Chapter 3 Feature importance, Part 1.mp4 -
54.04 MB
16 - Chapter 3 Feature importance, Part 2.mp4 -
40.55 MB
17 - Chapter 3 Feature engineering.mp4 -
41.57 MB
18 - Chapter 3 Machine learning for classification.mp4 -
31.2 MB
19 - Chapter 3 Training logistic regression.mp4 -
50.85 MB
2 - Chapter 1 When machine learning isn’t helpful.mp4 -
76.66 MB
20 - Chapter 3 Model interpretation.mp4 -
63.61 MB
21 - Chapter 3 Using the model.mp4 -
67.81 MB
22 - Chapter 4 Evaluation metrics for classification.mp4 -
54.65 MB
23 - Chapter 4 Confusion table.mp4 -
56.23 MB
24 - Chapter 4 Precision and recall.mp4 -
30.11 MB
25 - Chapter 4 ROC curve and AUC score.mp4 -
65.96 MB
26 - Chapter 4 ROC Curve.mp4 -
57.53 MB
27 - Chapter 4 Parameter tuning.mp4 -
35.02 MB
28 - Chapter 4 Next steps.mp4 -
65.05 MB
29 - Chapter 5 Deploying machine learning models.mp4 -
42.93 MB
3 - Chapter 1 Evaluation.mp4 -
69.32 MB
30 - Chapter 5 Model serving.mp4 -
50.32 MB
31 - Chapter 5 Managing dependencies.mp4 -
39.94 MB
32 - Chapter 5 Docker.mp4 -
34.81 MB
33 - Chapter 5 Deployment.mp4 -
48.27 MB
34 - Chapter 6 Decision trees and ensemble learning.mp4 -
30.42 MB
35 - Chapter 6 Data cleaning.mp4 -
52.34 MB
36 - Chapter 6 Decision trees.mp4 -
52.02 MB
37 - Chapter 6 Decision tree learning algorithm.mp4 -
43.26 MB
38 - Chapter 6 Random forest.mp4 -
40.35 MB
39 - Chapter 6 Gradient boosting.mp4 -
32.73 MB
4 - Chapter 2 Machine learning for regression.mp4 -
38.29 MB
40 - Chapter 6 Parameter tuning for XGBoost.mp4 -
60.8 MB
41 - Chapter 6 Next steps.mp4 -
40.8 MB
42 - Chapter 7 Neural networks and deep learning.mp4 -
56.29 MB
43 - Chapter 7 Convolutional neural networks.mp4 -
30.55 MB
44 - Chapter 7 Internals of the model.mp4 -
33.3 MB
45 - Chapter 7 Training the model.mp4 -
35.24 MB
46 - Chapter 7 Training the model - again.mp4 -
43.63 MB
47 - Chapter 7 Saving the model and checkpointing.mp4 -
52.53 MB
48 - Chapter 7 Data augmentation.mp4 -
44.93 MB
49 - Chapter 7 Using the model.mp4 -
58.82 MB
5 - Chapter 2 Exploratory data analysis.mp4 -
44.84 MB
50 - Chapter 8 Serverless deep learning.mp4 -
62.43 MB
51 - Chapter 8 Preparing the Docker image.mp4 -
66.27 MB
52 - Chapter 9 Serving models with Kubernetes and Kubeflow.mp4 -
52.87 MB
53 - Chapter 9 Running TensorFlow Serving locally.mp4 -
62.78 MB
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