https://github.com/unused-dev/google-ml-bootcamp

Google Machine Learning Bootcamp
https://github.com/unused-dev/google-ml-bootcamp

bootcamp

Last synced: 5 months ago
JSON representation

Google Machine Learning Bootcamp

• Host: GitHub
• URL: https://github.com/unused-dev/google-ml-bootcamp
• Owner: unused-dev
• Created: 2021-11-15T13:30:22.000Z (over 4 years ago)
• Default Branch: main
• Last Pushed: 2024-07-19T00:04:41.000Z (almost 2 years ago)
• Last Synced: 2025-07-04T08:40:45.280Z (12 months ago)
• Topics: bootcamp
• Homepage:
• Size: 69.3 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

Awesome Lists containing this project

README

          
# Google Machine Learning Bootcamp

![img](./assets/front.png)

## What is 'Machine Learning Bootcamp'?

- This program aims to train machine learning developers.

- To complete this program, participants must meet the following two requirements:

  #### Program

    - [**Deep Learning Specialization**](https://www.coursera.org/specializations/deep-learning)

  #### Obtain at least one of the following certifications:

    - [GCP Professional ML Engineer certification](https://cloud.google.com/certification/machine-learning-engineer)

    - [GCP Professional Data Engineer certification](https://cloud.google.com/certification/data-engineer)

    - [**TensorFlow certification**](https://www.tensorflow.org/certificate)

## This repository?

- This repository serves as a primary guide for documenting and reviewing the materials studied in the **Google Machine Learning Bootcamp**.

- It also includes notes and resources from the [**TensorFlow Developer Professional Certificate**](https://www.coursera.org/professional-certificates/tensorflow-in-practice) course taken for certification.

## Deep Learning Specialization

|No.|Course|Note|

|---|---|---|

|1|Neural Networks and Deep Learning||

|2|Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization||

|3|Structuring Machine Learning Projects||

|4|Convolutional Neural Networks||

|5|Sequence Models||

## DeepLearning.AI TensorFlow Developer Professional Certificate

|No.|Course|Note|

|---|---|---|

|1|Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning|||

|2|Convolutional Neural Networks in TensorFlow|||

|3|Natural Language Processing in TensorFlow|||

|4|Sequences, Time Series and Prediction|||

## Result

- Completed **Deep Learning Specialization**

- Obtained **TensorFlow certification**