Machine Learning Bookcamp, Video Edition

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Machine Learning Bookcamp, Video Edition

Torrent Contents Size: 2.8 GB

Machine Learning Bookcamp, Video Edition
β–Ό show more 44 files
1 - Chapter 1 Introduction to machine learning.mp4
MP4
75.1 MB
10 - Chapter 2 Validating the model.mp4
MP4
67.5 MB
11 - Chapter 2 Regularization.mp4
MP4
38.6 MB
12 - Chapter 2 Using the model.mp4
MP4
40.8 MB
13 - Chapter 3 Machine learning for classification.mp4
MP4
62.7 MB
14 - Chapter 3 Initial data preparation.mp4
MP4
51.1 MB
15 - Chapter 3 Feature importance, Part 1.mp4
MP4
54 MB
16 - Chapter 3 Feature importance, Part 2.mp4
MP4
40.5 MB
17 - Chapter 3 Feature engineering.mp4
MP4
41.6 MB
18 - Chapter 3 Machine learning for classification.mp4
MP4
31.2 MB
19 - Chapter 3 Training logistic regression.mp4
MP4
50.9 MB
2 - Chapter 1 When machine learning isn’t helpful.mp4
MP4
76.7 MB
20 - Chapter 3 Model interpretation.mp4
MP4
63.6 MB
21 - Chapter 3 Using the model.mp4
MP4
67.8 MB
22 - Chapter 4 Evaluation metrics for classification.mp4
MP4
54.7 MB
23 - Chapter 4 Confusion table.mp4
MP4
56.2 MB
24 - Chapter 4 Precision and recall.mp4
MP4
30.1 MB
25 - Chapter 4 ROC curve and AUC score.mp4
MP4
66 MB
26 - Chapter 4 ROC Curve.mp4
MP4
57.5 MB
27 - Chapter 4 Parameter tuning.mp4
MP4
35 MB
28 - Chapter 4 Next steps.mp4
MP4
65.1 MB
29 - Chapter 5 Deploying machine learning models.mp4
MP4
42.9 MB
3 - Chapter 1 Evaluation.mp4
MP4
69.3 MB
30 - Chapter 5 Model serving.mp4
MP4
50.3 MB
31 - Chapter 5 Managing dependencies.mp4
MP4
39.9 MB
32 - Chapter 5 Docker.mp4
MP4
34.8 MB
33 - Chapter 5 Deployment.mp4
MP4
48.3 MB
34 - Chapter 6 Decision trees and ensemble learning.mp4
MP4
30.4 MB
35 - Chapter 6 Data cleaning.mp4
MP4
52.3 MB
36 - Chapter 6 Decision trees.mp4
MP4
52 MB
37 - Chapter 6 Decision tree learning algorithm.mp4
MP4
43.3 MB
38 - Chapter 6 Random forest.mp4
MP4
40.3 MB
39 - Chapter 6 Gradient boosting.mp4
MP4
32.7 MB
4 - Chapter 2 Machine learning for regression.mp4
MP4
38.3 MB
40 - Chapter 6 Parameter tuning for XGBoost.mp4
MP4
60.8 MB
41 - Chapter 6 Next steps.mp4
MP4
40.8 MB
42 - Chapter 7 Neural networks and deep learning.mp4
MP4
56.3 MB
43 - Chapter 7 Convolutional neural networks.mp4
MP4
30.5 MB
44 - Chapter 7 Internals of the model.mp4
MP4
33.3 MB
45 - Chapter 7 Training the model.mp4
MP4
35.2 MB
46 - Chapter 7 Training the model - again.mp4
MP4
43.6 MB
47 - Chapter 7 Saving the model and checkpointing.mp4
MP4
52.5 MB
48 - Chapter 7 Data augmentation.mp4
MP4
44.9 MB
49 - Chapter 7 Using the model.mp4
MP4
58.8 MB
5 - Chapter 2 Exploratory data analysis.mp4
MP4
44.8 MB
50 - Chapter 8 Serverless deep learning.mp4
MP4
62.4 MB
51 - Chapter 8 Preparing the Docker image.mp4
MP4
66.3 MB
52 - Chapter 9 Serving models with Kubernetes and Kubeflow.mp4
MP4
52.9 MB
53 - Chapter 9 Running TensorFlow Serving locally.mp4
MP4
62.8 MB
54 - Chapter 9 Model deployment with Kubernetes.mp4
MP4
61.2 MB
55 - Chapter 9 Deploying to Kubernetes.mp4
MP4
52.6 MB
56 - Chapter 9 Model deployment with Kubeflow.mp4
MP4
36.6 MB
57 - Chapter 9 KFServing transformers.mp4
MP4
47.6 MB
6 - Chapter 2 Target variable analysis.mp4
MP4
47.1 MB
7 - Chapter 2 Machine learning for regression - again.mp4
MP4
50.8 MB
8 - Chapter 2 Linear regression.mp4
MP4
45.7 MB
9 - Chapter 2 Predicting the price.mp4
MP4
50.1 MB
Bonus Resources.txt
TXT
409.6 B
Get Bonus Downloads Here.url
URL
204.8 B

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