Files

.github
00-playground
01-deploying-a-deep-learning-model
02-data-centric-approach
03-data-labeling
04-tensorflow-data-validation
05-data-validation
- dataset_diabetes
- output
- C2W1_Assignment.ipynb
- slice_sample.csv
06-simple-feature-engineering
07-feature-engineering-pipeline
08-feature-engineering
09-feature-selection
10-ml-metadata
11-iterative-schema
12-data-pipeline-components
13-time-series-data
14-accelerometer-data
15-image-data
16-keras-tuner
17-tfx-tuner
18-manual-feature-engineering
19-algorithmic-dimensionality-reduction
20-quantization-and-pruning
21-distributed-training
22-knowledge-distillation
23-tensorflow-model-analysis
24-tfx-evaluator
25-fairness-indicators
26-shapley-values
27-permutation-feature-importance
28-intro-to-docker
29-tensorflow-serving-with-docker
30-serve-model-with-tensorflow-serving
31-deploy-fastapi-docker
32-kubernetes-local-environment
33-latency-test-compose
34-etl-apache-beam-tensorflow
35-kubeflow-pipelines
36-tfx-custom-components
37-tfs-model-versioning
38-github-actions
.gitignore
README.md
requirements.txt

05-data-validation

Nov 1, 2023

f65c920 · Nov 1, 2023

Name	Name	Last commit message	Last commit date
parent directory ..
dataset_diabetes	dataset_diabetes	docs: add readme table	Nov 1, 2023
output	output	docs: add readme table	Nov 1, 2023
C2W1_Assignment.ipynb	C2W1_Assignment.ipynb	docs: add readme table	Nov 1, 2023
slice_sample.csv	slice_sample.csv	docs: add readme table	Nov 1, 2023