Python Machine Learning Blueprints

This is a high-level list of topics covered in this course. Please see the detailed Agenda below • Understand the Python data science stack and commonly used algorithms • Build a model to forecast the performance of an Initial Public Offering (IPO) over an initial discrete trading window • Understand NLP concepts by creating a custom news feed • Create applications that will recommend GitHub repositories based on ones you’ve starred, watched, or forked • Gain the skills to build a chatbot from scratch using PySpark • Develop a market-prediction app using stock data • Delve into advanced concepts such as computer vision, neural networks, and deep learning

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Hours :

Hands on Labs

Requirements

  • This course is designed for developers wants to Discover a project-based approach to mastering machine learning concepts by applying them to everyday problems using libraries such as scikit-learn, TensorFlow, and Keras Pre-Requisites: Students should have familiar with • Basics of Python • Knowledge of Python is assumed.

Description

Machine learning is transforming the way we understand and interact with the world around us. This course is the perfect guide for you to put your knowledge and skills into practice and use the Python ecosystem to cover key domains in machine learning. This edition covers a range of libraries from the Python ecosystem, including TensorFlow and Keras, to help you implement real-world machine learning projects. The course begins by giving you an overview of machine learning with Python. With the help of complex datasets and optimized techniques, you’ll go on to understand how to apply advanced concepts and popular machine learning algorithms to real-world projects. Next, you’ll cover projects from domains such as predictive analytics to analyze the stock market and recommendation systems for GitHub repositories. In addition to this, you’ll also work on projects from the NLP domain to create a custom news feed using frameworks such as scikit-learn, TensorFlow, and Keras. Following this, you’ll learn how to build an advanced chatbot, and scale things up using PySpark. In the concluding lessons, you can look forward to exciting insights into deep learning and you'll even create an application using computer vision and neural networks. By the end of this course, you’ll be able to analyze data seamlessly and make a powerful impact through your projects. Working in a hands-on learning environment, led by our Python Machine Learning Blueprints expert instructor, students will learn about and explore: • Get to grips with Python's machine learning libraries including scikit-learn, TensorFlow, and Keras • Implement advanced concepts and popular machine learning algorithms in real-world projects • Build analytics, computer vision, and neural network projects

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About the Instructor

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About the Instructor

Ernesto Lee is an impassioned blockchain entrepreneur and technologist from the Miami/Fort Lauderdale Area. For over 25 years Ernesto has been asking hard questions and pursuing tough answers. Ernesto was an original founding member, co-owner and the CTO of Blockchain Training Alliance and former Chief Solutions Architect at TechBlue.com. Presently, Ernesto is the CEO at Ernesto.Net and Engineer at Kaiser Permanente.  Ernesto’s career illustrates a lifelong commitment to pushing the envelope on innovation and growing opportunities for all around him.

As a graduate of Old Dominion University (BS, Physics), Virginia Tech (MS, Software Engineering), and Harvard Extension School (Graduate Certificate, Business Communication), Ernesto has always had a passion for technology and teaching. It has been a cornerstone of Ernesto’s career.