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Expert Machine Learning with Python

New – Learn to apply supervised and unsupervised learning to image recognition, NLP, web search, computational creativity, and financial data modeling in this self-paced course.

GK# 7735

Course Overview

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This course is designed to take you on to a guided tour of the most relevant and powerful machine learning techniques. Clear descriptions of how techniques work and detailed code examples demonstrate deep learning techniques, semi-supervised learning and more, in real world applications. The machine learning techniques covered in this course are at the forefront of commercial practice. They are applicable now in different contexts such as image recognition, NLP and web search, computational creativity, and financial data modeling. By this end of this course, you will learn a set of advanced Machine Learning techniques and acquire a broad set of powerful skills in the area of feature selection & feature engineering.

Schedule

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What You'll Learn

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  • Explore and use Python's impressive machine learning ecosystem
  • Successfully evaluate and apply the most effective models to problems
  • Learn the fundamentals of NLP—and put them into practice
  • Compete with top data scientists by gaining a practical and theoretical understanding of cutting-edge deep learning algorithms
  • Apply your new found skills to solve real problems, through clearly-explained code for every technique and test
  • Automate large sets of complex data and overcome time-consuming practical challenges
  • Improve the accuracy of models and your existing input data using powerful feature engineering techniques

Outline

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On-Demand Outline

Build an app to estimate the airfare and creating custom news feeds

Build a forecast app for stock markets

Building an AI enabled chatbot

Dive into supervised and unsupervised learning, the probabilistic model, ensemble learning and more

Who Should Attend

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This course appeals to those developers who have a basic machine learning knowledge and want to explore the various arenas of machine learning by creating insightful and interesting projects.

Course Delivery

This course is available in the following formats:

On-Demand

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