Machine learning with Python and Azure Notebooks In Malaysia

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Analyze climate data with Azure Notebooks

Create an Azure Notebook and use three popular Python libraries to analyze climate data collected by NASA, then share it.

In this module, you will:

• Create a notebook in Azure Notebooks
• Upload, manipulate, and visualize data in a notebook
• Share notebooks online

Predict flight delays by creating a machine learning model in Python

Import airline arrival data into a Jupyter notebook and use Pandas to clean it. Then, build a machine learning model with Scikit-Learn and use Matplotlib to visualize output.

In this module, you will:

• Create an Azure Notebook and import flight data
• Use Pandas to clean and prepare data
• Use Scikit-learn to build a machine-learning model
• Use Matplotlib to visualize the output

Analyze the sentiment of reviews with Keras

Keras is a high-level neural networks API, written in Python, that runs on top of other deep learning tools such as TensorFlow. This module uses Keras to build a neural network that scores text, such as user reviews for sentiment.

In this module, you will:

• Create a Jupyter notebook in Azure Notebooks
• Use Keras to build and train a neural network to perform sentiment analysis
• Use the neural network to analyze text for sentiment

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