Course info
Aug 9, 2018
1h 38s

At the core of applied machine learning is a thorough knowledge of data wrangling. In this course, Data Wrangling with Pandas for Machine Learning Engineers, you will learn how to massage data into a modellable state. First, you will discover what data wrangling is and its importance to the machine learning process. Next, you will explore the Pandas DataFrame and see how data is manipulated within the DataFrame. Finally, you will learn how to build an accurate model with the cleansed dataset. When you are finished with this course, you will have a foundational knowledge of data wrangling that will help you as you move forward to becoming a machine learning engineer.

About the author
About the author

Mike has Bachelor of Science degrees in Business and Psychology. He's passionate about machine learning and data engineering.

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Section Introduction Transcripts
Section Introduction Transcripts

Course Overview
[Autogenerated] Hello. My name is Mike Weston. Welcome to my course. Data wrangling with pandas from machine learning engineers, artificial neural networks getting all the attention. One of the most overlooked aspects of machine learning is the data. Regardless of the algorithm type, almost all machine learning models need well formatted structure data to perform optimally. It's the job of the machine. They're engineer to wrangle the data into a model state. Data wrangling is one of those difficulty, time consuming parts of machine learning in the real world. Data is dirty and machine learning models or temperamental. These models only want highly structured, well cleanse data in this course provide you with the foundation you need to rankle those unruly data sets. The course will introduce you to apply data wrangling. You'll learn how developers take real world data sets and wrangle them too. Highly structured numerical entities machine learning models need the court library used by machine learning engineers to wrangle their data, and python is called pandas. You learn how to manipulate tabular data in an array. They raise the core data object in machine learning. Once the date has been properly wrangled, you'll build a highly accurate model that will predict a person's survivability if they're aboard the Titanic at the time of the sinking python has become the gold standard and apply machine learning in the library called pandas. The preferred tool utilized by developers to massage their data into a welcoming state by the end of the course will be familiar with the basics of data wrangling and the process. Machine learning engineers used to create will cleanse model ready data sets. I hope you'll join me on this journey to learn more about data wrangling with Python Plural site.