Onboarding Page

https://rsvp.withgoogle.com/events/partner-learning/google-cloud-certifications#content

Cloud Skill Boost

https://partner.cloudskillsboost.google/

• Problems with accessing Cloud Skills Boost for Partners

  • partner-training@google.com  

• Problems with a lab (locked out, etc.)

  • support@qwiklabs.com 

Collab Notebooks

Tensor F

DataFlow

https://colab.research.google.com/github/apache/beam/blob/master/examples/notebooks/get-started/try-apache-beam-py.ipynb

Start with Pandas

https://colab.research.google.com/github/google/eng-edu/blob/main/ml/cc/exercises/pandas_dataframe_ultraquick_tutorial.ipynb

Plotting

https://colab.research.google.com/notebooks/charts.ipynb

Regression

https://www.tensorflow.org/tutorials/keras/regression

Random Forest

https://www.tensorflow.org/decision_forests/tutorials/beginner_colab?hl=en

KMeans (Copy code and Paste in Start with Pandas notebook)

https://scikit-learn.org/stable/auto_examples/cluster/plot_cluster_iris.html#sphx-glr-auto-examples-cluster-plot-cluster-iris-py

PCA (Copy code and Paste in Start with Pandas notebook)

https://scikit-learn.org/stable/auto_examples/cross_decomposition/plot_pcr_vs_pls.html#sphx-glr-auto-examples-cross-decomposition-plot-pcr-vs-pls-py

Validation and Test Set

https://colab.research.google.com/github/google/eng-edu/blob/main/ml/cc/exercises/validation_and_test_sets.ipynb?utm_source=mlcc&utm_campaign=colab-external&utm_medium=referral&utm_content=validation_tf2-colab&hl=en#scrollTo=EnNvkFwwK8WY

Overfit and Underfit

https://www.tensorflow.org/tutorials/keras/overfit_and_underfit

Confusion Matrix (Run the the libraries import , dataset load , compile and fit cells only)

https://colab.research.google.com/github/tensorflow/tensorboard/blob/master/docs/image_summaries.ipynb#scrollTo=k6CV7dy-oJZu

Precision and Recall

https://colab.research.google.com/github/google/eng-edu/blob/main/ml/cc/exercises/binary_classification.ipynb?utm_source=mlcc&utm_campaign=colab-external&utm_medium=referral&utm_content=binary_classification_tf2-colab&hl=en#scrollTo=Ax87gOyDBhAu

CNN

https://www.tensorflow.org/tutorials/images/cnn

https://www.tensorflow.org/tutorials/images/classification

What IF Tool

https://colab.research.google.com/github/pair-code/what-if-tool/blob/master/What_If_Tool_Notebook_Usage.ipynb

Recommendation System

https://colab.research.google.com/github/google/eng-edu/blob/main/ml/recommendation-systems/recommendation-systems.ipynb

https://www.tensorflow.org/guide/distributed_training

https://colab.research.google.com/github/tensorflow/docs/blob/master/site/en/guide/distributed_training.ipynb#scrollTo=quNNTytWdGBf

https://xgboost.readthedocs.io/en/stable/

Epochs Steps and Batch Size

https://medium.com/syntaxerrorpub/what-are-steps-epochs-and-batch-size-in-deep-learning-5c942539a5f8

Cool Links

Tensorflowplayground

https://playground.tensorflow.org/

Data Preprocessing Links

Feature Preprocessing in Tensorflow

https://developers.googleblog.com/2017/11/introducing-tensorflow-feature-columns.html

Feature Preprocessing in Bigquery

https://cloud.google.com/bigquery/docs/reference/standard-sql/bigqueryml-preprocessing-functions#mlnormalizer

Log Transformation

https://medium.com/@kyawsawhtoon/log-transformation-purpose-and-interpretation-9444b4b049c9

Correlations

ANOVA

https://www.reneshbedre.com/blog/anova.html

ChiSquared

https://www.geeksforgeeks.org/python-pearsons-chi-square-test/

Pearson Correlation

https://stackabuse.com/calculating-pearson-correlation-coefficient-in-python-with-numpy/

Information Gain and Entropy

https://victorzhou.com/blog/information-gain/#:~:text=Information%20Gain%20is%20calculated%20for,chosen%20by%20maximizing%20Information%20Gain.

Training a Model

Accuracy , Precision and Recall , True Positives , True Negatives , False Positives False Negatives

https://developers.google.com/machine-learning/crash-course/classification/true-false-positive-negative

When to use them?

https://towardsdatascience.com/the-f1-score-bec2bbc38aa6

Machine Learning Algorithms

Principal Component Analysis

https://towardsdatascience.com/principal-component-analysis-pca-explained-visually-with-zero-math-1cbf392b9e7d

Support Vector Machines

https://towardsdatascience.com/support-vector-machine-introduction-to-machine-learning-algorithms-934a444fca47

Decision Trees

https://www.ibm.com/topics/decision-trees

Neural Networks

CNN

https://towardsdatascience.com/from-alexnet-to-nasnet-a-brief-history-and-introduction-of-convolutional-neural-networks-cf63bf3320e1

https://cs231n.github.io/convolutional-networks/

Logistic Regression

https://rstudio-pubs-static.s3.amazonaws.com/735707_e884f54487b0424b8325a8264f1a6084.html

http://cs231n.stanford.edu/

Recurrent Neural Nextworks

http://karpathy.github.io/2015/05/21/rnn-effectiveness/

https://medium.com/@jessica_lopez/understanding-greedy-search-and-beam-search-98c1e3cd821d

Visier

https://static.googleusercontent.com/media/research.google.com/es//pubs/archive/46180.per o

Spotify

https://cloud.google.com/blog/products/gcp/spotifys-journey-to-cloud-why-spotify-migrated-its-event-delivery-system-from-kafka-to-google-cloud-pubsub

https://labs.spotify.com/2016/02/25/spotifys-event-delivery-the-road-to-the-cloud-part-i/

https://labs.spotify.com/2016/03/03/spotifys-event-delivery-the-road-to-the-cloud-part-ii/

https://labs.spotify.com/2016/03/10/spotifys-event-delivery-the-road-to-the-cloud-part-iii/