Practical Machine Learning (2024)

Files Included :

1 Introduction.mp4 (18.35 MB)
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2 Define the roles and responsibilities of a machine learning engineer.mp4 (9.57 MB)
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4 Common applications for ML [optional].mp4 (68.22 MB)
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1 Intro working with datasets to identify key insights.mp4 (9.85 MB)
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3 The power of pandas.mp4 (2.25 MB)
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1 What is an ETL pipeline.mp4 (6.78 MB)
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1 Train models using tools from industry like scikit learn and xgboost.mp4 (16.09 MB)
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3 Train a PyTorch neural net model.mp4 (75.85 MB)
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1 What is ML in Production.mp4 (18.03 MB)
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3 Metrics and Monitoring.mp4 (15.59 MB)
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1 That's all folks!.mp4 (3.77 MB)
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