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RAR-files |
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| Total size: |
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| Archived
files |
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1 - Introduction\01 - Introduction.mp4
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13,278,375 |
3D96237F |
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3 - Preprocessing and feature creation\29 - [ML on GCP C4] Computing Time-Windowed Features in Cloud Dataprep.mp4
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260,242 |
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3 - Preprocessing and feature creation\27 - Preprocessing with Cloud Dataprep.mp4
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26,304,395 |
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3 - Preprocessing and feature creation\18 - Apache Beam _ Cloud Dataflow.mp4
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3 - Preprocessing and feature creation\28 - Lab Intro - Computing Time-Windowed Features in Cloud Dataprep.mp4
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34,653,153 |
6A542C23 |
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3 - Preprocessing and feature creation\24 - [ML on GCP C4] MapReduce in Dataflow (Python).mp4
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3 - Preprocessing and feature creation\30 - Lab Solution - Computing Time-Windowed Features in Cloud Dataprep.mp4
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3 - Preprocessing and feature creation\17 - Preprocessing and feature creation.mp4
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22,905,675 |
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3 - Preprocessing and feature creation\20 - [ML on GCP C4] A simple Dataflow pipeline (Python).mp4
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3 - Preprocessing and feature creation\25 - Lab Solution - MapReduce in Dataflow.mp4
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3 - Preprocessing and feature creation\19 - A Simple Dataflow Pipeline.mp4
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3 - Preprocessing and feature creation\21 - Lab Solution - A Simple Dataflow Pipeline.mp4
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3 - Preprocessing and feature creation\22 - Data Pipelines at Scale.mp4
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3 - Preprocessing and feature creation\23 - MapReduce in Dataflow.mp4
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3 - Preprocessing and feature creation\26 - Dataflow Wrapup.mp4
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6 - Summary\58 - Summary.mp4
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feature-engineering.zip |
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2 - Raw data to features\08 - Quiz - Features should be numeric.mp4
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2 - Raw data to features\15 - [ML on GCP C4] Improving model accuracy with new features.mp4
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2 - Raw data to features\10 - Quiz - Features should have enough examples (part 1).mp4
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2 - Raw data to features\09 - Features should have enough examples.mp4
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2 - Raw data to features\16 - Improve model accuracy with new features.mp4
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2 - Raw data to features\11 - Quiz - Features should have enough examples (part 2).mp4
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2 - Raw data to features\03 - Good vs Bad Features.mp4
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2 - Raw data to features\04 - Quiz - Features are Related to the Objective.mp4
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2 - Raw data to features\14 - ML vs Statistics.mp4
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2 - Raw data to features\06 - Features are knowable at prediction time'.mp4
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2 - Raw data to features\07 - Features should be numeric.mp4
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2 - Raw data to features\02 - Raw Data to Features.mp4
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2 - Raw data to features\05 - Quiz - Features are knowable at prediction time.mp4
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2 - Raw data to features\12 - Bringing human insights.mp4
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2 - Raw data to features\13 - Representing Features.mp4
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5 - TensorFlow Transform\55 - Exploring tf.transform.mp4
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5 - TensorFlow Transform\51 - TensorFlow Transform.mp4
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5 - TensorFlow Transform\50 - Introduction.mp4
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5 - TensorFlow Transform\54 - Supporting serving.mp4
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5 - TensorFlow Transform\52 - Analyze phase.mp4
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5 - TensorFlow Transform\57 - Exploring tf.transform.mp4
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146,113,993 |
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5 - TensorFlow Transform\56 - [ML on GCP C4] Exploring tf.transform.mp4
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5 - TensorFlow Transform\53 - Transform phase.mp4
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4 - Feature crosses\46 - Lab Intro - Improve ML Model with Feature Engineering.mp4
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4 - Feature crosses\48 - Debrief - ML Fairness.mp4
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4 - Feature crosses\32 - What is a feature cross.mp4
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4 - Feature crosses\49 - Solution - Improve ML Model with Feature Engineering.mp4
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4 - Feature crosses\39 - Lab Intro - Too Much of a Good Thing.mp4
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4 - Feature crosses\37 - Lab Solution - Feature Crosses to create a good classifier.mp4
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4 - Feature crosses\33 - Discretization.mp4
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4 - Feature crosses\41 - Implementing Feature Crosses.mp4
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4 - Feature crosses\47 - [ML on GCP C4] Improve ML model with Feature Engineering.mp4
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4 - Feature crosses\44 - Feature Creation in TensorFlow.mp4
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4 - Feature crosses\36 - Lab Intro - Feature Crosses to create a good classifier.mp4
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4 - Feature crosses\34 - Memorization vs. Generalization.mp4
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4 - Feature crosses\43 - Where to Do Feature Engineering.mp4
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4 - Feature crosses\38 - Sparsity + Quiz.mp4
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4 - Feature crosses\31 - Introduction.mp4
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4 - Feature crosses\45 - Feature Creation in DataFlow.mp4
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4 - Feature crosses\40 - Lab Solution - Too Much of a Good Thing.mp4
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4 - Feature crosses\35 - Taxi colors.mp4
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4 - Feature crosses\42 - Embedding Feature Crosses.mp4
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1 - Introduction |
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3 - Preprocessing and feature creation |
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