HARTMANN software group

Machine Learning using Python Training in Sacramento

Enroll in or hire us to teach our Machine Learning using Python class in Sacramento, California by calling us @303.377.6176. Like all HSG classes, Machine Learning using Python may be offered either onsite or via instructor led virtual training. Consider looking at our public training schedule to see if it is scheduled: Public Training Classes
Provided there are enough attendees, Machine Learning using Python may be taught at one of our local training facilities.
We offer private customized training for groups of 3 or more attendees.
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Course Description

  
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
Students must have an intermediate knowledge of Python that includes classes and objects, lists, tuples, reading from a file ...

Course Outline

  

iPython
About iPython
Features of iPython
Starting iPython
Tab completion
Magic commands
Benchmarking
External commands
Enhanced help
Notebooks

numpy
Python’s scientific stack
numpy overview
Creating arrays
Creating ranges
Working with arrays
Shapes
Slicing and indexing
Indexing with Booleans
Stacking
Iterating
Tricks with arrays
Matrices
Data types
numpy functions

scipy
About scipy
Polynomials
Vectorizing functions
Subpackages
Getting help
Weave

A Tour of scipy subpackages
cluster
constants
fftpack
integrate
interpolate
io
linalg
ndimage
odr
optimize
signal
sparse
spatial
special
stats

pandas
About
pandas
Pandas architecture
Series
DataFrames
Data Alignment
Index Objects
Basic Indexing
Broadcasting
Removing entries
Time series
Reading Data

matplotlib
About matplotlib
matplotlib architecture
matplotlib Terminology
matplotlib keeps state
What else can you do?

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

 

 

Course Directory [training on all levels]

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Software engineer/architect, System Admin ... Welcome!
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Project Managers, Business Analysts, Paralegals ... Welcome!
Upcoming Classes
Gain insight and ideas from students with different perspectives and experiences.

Python Programming Uses & Stats

Python Programming is Used For:
Web Development Video Games Desktop GUI's Software Development
Difficulty
Popularity
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
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 Programming Job Market
Average Salary
$107,000
Job Count
26,856
Top Job Locations

New York City

Mountain View

San Francisco
Complimentary Skills to have along with Python Programming
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

Interesting Reads Take a class with us and receive a book of your choosing for 50% off MSRP.