Visualization/Dimensionality Reduction in Python for Machine Learning

Learn Visualization and Dimensionality Reduction in Python for Machine Learning. Become a Data Scientist expert! Everything you need to get the job you want!

This course is designed to give you the Visualization/Dimensionality Reduction skills you need to become an expert data scientist. By the end of the course, you will understand Visualization/Dimensionality Reduction extremely well and be able to use the techniques on your own projects and be productive as a computer scientist and data analyst.

Here’s just some of what you’ll learn

(It’s okay if you don’t understand all this yet, you will in the course)

All the essential Visualization/Dimensionality Reduction techniques: PCA, LLE, t-SNE, ISOMAP... Their arguments and expressions needed to fully understand exactly what you’re coding and why - making programming easy to grasp and less frustrating.

You will learn the answers to questions like What is a High Dimensionality Dataset, What are rules and models and to reduce the dimensionality and Visualize complex decisions

Complete chapters on Dimensionality of Datasets and many aspects of the Dimensionality Reduction mechanism (the protocols and tools for building applications) so you can code for all platforms and derestrict your program’s user base.

How to apply powerful machine learning techniques using Dimensionality Reduction.

What you'll learn

Master Visualization and Dimensionality Reduction in Python
Become an advanced, confident, and modern data scientist from scratch
Become job-ready by understanding how Dimensionality Reduction really works behind the scenes
Apply robust Machine Learning techniques for Dimensionality Reduction
Master Machine Learning Tools such as PCA, LLE, TSNE, Multidimensional Scaling, ISOMAP, Fisher Discriminant Analysis, etc.
How to think and work like a data scientist: problem-solving, researching, workflows
Get fast and friendly support in the Q&A area
Practice your skills with 10+ challenges and assignments (solutions included)

#MachineLearning #Python #Morioh

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