[Revised Edition] The Complete Guide to Python Machine Learning
We will help you easily understand the core concepts of machine learning and acquire the ability to implement practical machine learning applications by moving away from theory-based machine learning courses.
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I have recently released a new course titled ‘Spark Machine Learning Complete Guide - Part 1’.
hello,
This time, I have released a new lecture titled 'Spark Machine Learning Complete Guide - Part 1'.
'Spark Machine Learning Complete Guide - Part 1' goes beyond learning how to implement machine learning models in Apache Spark, the powerhouse of open source large-scale distributed processing solutions, and aims to help students grow into machine learning experts who are also skilled in data processing and analysis.
This lecture will provide detailed theoretical explanations and abundant practical training on various elements that make up the Spark Machine Learning Framework, such as DataFrame, SQL, Estimator, Transformer, Pipeline, and Evaluator, as well as learning in detail how to process/analyze data based on SQL, how to derive analysis elements based on business domain, and how to create a model using this Feature Engineering technique through practical training on Kaggle's Instacart Market Basket Analysis competition.
We have put a lot of effort into creating this course to be of great help to those who want to grow into true machine learning experts based on large amounts of data.
2021 is almost over. I hope you finish all the things you planned for this year and that all your wishes come true in 2022.
thank you