Machine Learning Mastery
General Overview and Setup
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- General Overview (12:48)
- Installing Linux on Windows (6:35)
- Downloading Full Code for the Course!
- Installing Python (3:30)
- Installing PyCharm (3:22)
- Installation of python packages for the course (2:24)
- Installing Docker Desktop (5:11)
- Setting up Google Cloud (6:46)
- Obtaining credentials for Twitter API (6:02)
- Obtain Google Cloud Service Account Key (11:11)
- Use Python to write logs to Google Cloud (9:12)
- Use Python to control storage in Google Cloud
Streaming Real-Time Data with Docker
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days
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- (COMING SOON!) Tweet Filter Overview
- (COMING SOON!) Using requests to stream data
- (COMING SOON!) Pub/Sub Overview
- (COMING SOON!) Publishing to a topic
- (COMING SOON!) Dockerfiles 101 (0:36)
- (COMING SOON!) Testing Locally
- (COMING SOON!) Deployment to Google's Container Registry
- (COMING SOON!) Running the Container in the Cloud
Data Pipelines 101
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Run Analytics on data of any size
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Deploying a Machine Learning Model to Production
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- (COMING SOON!) ML Overview
- (COMING SOON!) Develop models with free GPU on Google Colab
- (COMING SOON!) Ingesting Labeled Data
- (COMING SOON!) Importance of Tokenization
- (COMING SOON!) Keras 101
- (COMING SOON!) ML Concepts: CNN Model Overview
- (COMING SOON!) ML Concepts: MaxPool
- (COMING SOON!) Training a machine learning model with Vertex AI Pipelines
- (COMING SOON!) Testing accuracy of the machine learning model
Deployment of Model
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days
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Incorporating model into the production pipeline
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Visualizing your results
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