Jupyter

This article outlines how to build and run pipelines on Apache Airflow without the need for coding.

Use JupyterLab and Elyra to create and run machine learning pipelines.

Elyra is a set of open source AI-centric extensions to Jupyter Notebooks, and, more specifically, the new JupyterLab user interface.

Integrate a SingleStore with a Python machine learning model using a Jupyter notebook

Learn how to ensure the data you use in problem solving is relevant and properly manipulated

Create a Jupyter Notebook that contains Python code for defining logistic regression, then use TensorFlow (tf.keras) to implement it.

Use a Jupyter Notebook to create an RNN model based on the LSTM unit to train and benchmark on the Penn Treebank data set, and learn how TensorFlow builds and executes an RNN model for language modeling.

Check out the 6 open source projects that I think will shape the future of tech in the coming years

Elyra AI Toolkit is a new open source project that extends the JupyterLab user interface to simplify the development of data science and AI models.

This tutorial covers Big Data via PySpark (a Python package for spark programming). We explain SparkContext by using map and filter methods with Lambda functions in Python. We also create RDD from object and external files, transformations and actions on RDD and pair RDD, SparkSession, and PySpark DataFrame from RDD, and external files. In addition, we use sql queries with DataFrames (by using Spark SQL module). And finally, machine learning with PySpark MLlib library.