[ ] Machine Learning Bookcamp, Video Edition


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Torrent Size : 2.77 GB


[ ] 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 -
176 bytes

    ~Get Your Files Here !
          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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