Machine Learning using Python Training in Vista
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) |
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 |
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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- Introduction to Python 3.x
29 April, 2024 - 2 May, 2024 - Ruby on Rails
2 May, 2024 - 3 May, 2024 - Introduction to Spring 5 (2022)
15 July, 2024 - 17 July, 2024 - VMware vSphere 8.0 with ESXi and vCenter
10 June, 2024 - 14 June, 2024 - Introduction to C++ for Absolute Beginners
20 May, 2024 - 21 May, 2024 - See our complete public course listing
Python Uses & Stats
Difficulty
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Popularity
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Year Created 1991 |
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
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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
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![]() Job Count
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![]() 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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