Download Apache Spark with PySpark: Master Spark with Python

What you would learn in Apache Spark with PySpark: Master Spark with Python course?

We want to welcome you to our fantastic online course about Apache Spark.

Apache Spark is an Open Source general-purpose cluster computing system that includes capabilities for iterative computation. It can handle large amounts of data without humans intervening. Although its primary purpose is to function as an engine for distributed computing, it also contains software for graph processing and machine learning tasks, such as artificial intelligence.

PySpark is a Python-based version that is a part of Apache Spark, which distributes computations in memory, either on CPUs or clusters of computers using cached data in memory. This allows you to execute large-scale analytics in a controlled manner. Python is an efficient scripting language that is easy to master and enjoyable to master! With Spark, you're able to incorporate the capabilities of machine learning straight into the code without needing duplicate codes from notebooks.

The course covers:

Start by reading the Apache Spark introduction.
Explore Spark's features.
Learn how to install Spark and configure it using VirtualBox.
Learn how to install and configure AWS EC2.
Find out more about the Data Frame and its implementation in Spark.
Also, learn how to use Machine Learning in Spark.
Find out more about Linear Regression and its implementation by using the MLlib.
Learn more about Logistic Regression and its implementation with MLlib.
Learn more about SVM Classifier and its implementation by using the MLlib.
Find out more about K nearest neighbor and its implementation using MLlib.
Learn more about Naive Bayes and how it is implemented with the MLlib.
Learn more about Tree-Based Algorithms and their implementation.

Once you have completed this course, you'll be an expert in Apache Spark. We also offer tests.

Additionally, you will have access to all of the resources utilized in this course.

Course Content:

Start by reading the Apache Spark introduction.
Learn more about Spark.
Learn how to install Spark and configure it using VirtualBox.
Learn how to install and set up AWS EC2.
Find out more what is the Data Frame in Apache Spark.
Learn more about the basics of Machine Learning in Spark.
Learn more about Linear Regression using MLlib.
Find out more about Logistic Regression with MLlib.
Learn about SVM Classifier using MLlib.
Find out about your nearest neighbor by using MLlib.
Find out about Naive Bayes by using MLlib.
Learn more about Tree-Based Algorithms.