Machine Learning using Python Training in Weston
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                	 We offer private customized training for groups of 3 or more attendees.
                 
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Course Description | 
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|  This class employs the Python modules Matplotlib, Scipy and Numpy,
Pandas, Sklearn and the IPython to explore a variety of different
Machine Learning algorithms.  Students will gain an in depth knowledge
of Advanced Python constructs and a basic understanding of Machine Learning. 
                        Course Length: 3 Days 
                    Course Tuition: $1790 (US)  | 
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		                Prerequisites | 
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| Students must have an intermediate knowledge of Python that includes classes and objects, lists, tuples, reading from a file ... | |
                    
                    Course Outline | 
                
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	iPython 
	numpy Basics of Machine Learning 
	Definition of machine learning 
	Types of machine learning 
	Machine learning implementation examples 
Machine Learning using Sclearn 
	Machine learning: the problem setting 
	Loading an example dataset 
	Learning and predicting 
	Model persistence 
	Conventions 
	Data Visualization using padas, matplotlib and seaborn 
 
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- ASP.NET Core MVC (VS2022) 
24 November, 2025 - 25 November, 2025 - RED HAT ENTERPRISE LINUX SYSTEMS ADMIN I 
3 November, 2025 - 7 November, 2025 - Python for Scientists 
8 December, 2025 - 12 December, 2025 - Introduction to Spring 6, Spring Boot 3, and Spring REST 
15 December, 2025 - 19 December, 2025 - Fast Track to Java 17 and OO Development 
8 December, 2025 - 12 December, 2025 - See our complete public course listing 
 
Python Uses & Stats
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	            				 Difficulty 
	            				
	            			 | 
	            			
	            				 Popularity 
	            				
	            			 | 
	            			Year Created  1991 | 
	            			
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	            				 Pros 
	            				
	Easy to Learn: 
	The learning curve is very mild and the language is versatile and fast to develop. 
	Massive Libraries: 
	You can find a library for basically anything: from web development, through game development, to machine learning. 
	Do More with Less Code: 
	You can build prototypes and test out  ideas much quicker in Python than in other language 
 | 
	            			
	            				 Cons 
	            				Speed Limitations: It is an interpretive language and therefore much slower than compiled languages. Problems with Threading: Multi-threaded CPU-bound programs may be slower than single-threaded ones do to the Global Interpreter Lock (GIL) that allows only one thread to execute at a time. Weak on Mobile: Although, there are a number or libraries that provide a way to develop for both Android and iOS using Python currently Android and iOS don’t support Python as an official programming language.  | 
	            			
| Python Job Market | 
	            				 
	            				Average Salary 
	            				 | 
	            			
	            				 
	            				Job Count 
	            				 | 
	            			
	            				 
	            				Top Job Locations 
	            				New York City Mountain View San Francisco  | 
	            			
| 
	            					Complimentary Skills to have along with Python
	            					 
	The potential for career growth, whether you are new to the industry or plan to expand your current skills, depends upon your interests: 
	  - For knowledge in building in PC or windows, phone apps or you are looking your future in Microsoft learn C# 
	  - For android apps and also cross platform apps then learn Java 
	  - If you are an Apple-holic and want to build iOS and MAC apps and then choose Objective C or Swift 
	  - Interested in game development? C++ 
	  - Data mining or statistics then go with R programming or MATLAB 
	  - Building an operating systems? C 
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