[Download Now] Stone River eLearning – Machine Learning with Python

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• Understand what machine learning is and what it can do
• Discover how Python utilises machine learning
• Build machine learning processing from the ground up
• Delve into complex logic and data structures

You can increase your Python knowledge.

If you want to learn machine learning concepts and have previous programming experience, this course is 888-739-5110 888-739-5110 888-739-5110 888-739-5110 888-739-5110 888-739-5110 888-739-5110 888-739-5110 888-739-5110 888-739-5110 888-739-5110 888-739-5110 888-739-5110 888-739-5110 888-739-5110 888-739-5110 888-739-5110 888-739-5110 888-739-5110 888-739-5110 888-739-5110 888-739-5110 888-739-5110 888-739-5110 888-739-5110 888-739-5110 888-739-5110 888-739-5110 888-739-5110 888-739-5110 888-739-5110 888-739-5110 888-739-5110 888-739-5110 888-739-5110 888-739-5110 888-739-5110 888-739-5110 888-739-5110 888-739-5110 888-739-5110 Each module starts with theory to explain upcoming concepts, so if you are more of a beginner than an intermediate, don’t worry. You can put your knowledge to use with a code walk through.

Building procedural machine learning from the ground up is the goal of this course. Writing processing from scratch allows students to gain a more in-depth insight into data processing, and as each machine learning app is created, explanations and comments are provided to help students understand why things are being done in certain ways. The building process is shown in real time.

After building your first machine learning application, the course begins with an introduction to machine learning concepts. Within the context of Python, we look at data analysis, linear algebra, natural language processing and clustering. You will receive a certificate of completion at the end of the course, which will give you an introduction to the world of machine learning with Python.

What is machine learning?

Machine learning is a method of data analysis that allows computers to learn on their own. When you stop scrolling through Facebook to read a friend or a page post, you will see more content from those sources earlier in your news feed.

Get Machine Learning with Python – Stone River eLearning, Only Price $37

Course Curriculum

• Course Introduction (2:02)

There are machine learning concepts.

• Section Introduction (0:38)
• Supervised and Unsupervised Learning (8:34)
• Semi-Supervised Learning (4:25)
• Section Summary (0:23)

The first application.

• Section Introduction (1:49)
• Installing the Environment (2:54)
• Hello World (7:34)
• Installing Aaconda and Deep Learning Libraries (10:18)
• Email Spam Checker – Part 1 (7:09)
• Email Spam Checker – Part 2 (13:39)
• Email Spam Checker Results (8:35)
• Iris 70:30 – Part 1 (8:56)
• Iris 70:30 – Part 2 (9:18)
• Section Summary (0:44)

Data analysis

• Section Introduction (0:32)
• Data Analysis – Example 1 (12:57)
• Data Analysis – Example 2 (10:47)
• Data Visualization (8:44)
• Section Summary (0:44)

There is a linear equation.

• Section Introduction (0:59)
• Parametric Algorithms (6:52)
• Linear Algebra (9:35)
• Linear Regression Calculation – Part 1 (12:42)
• Linear Regression Calculation – Part 2 (5:03)
• Regression on Larger Dataset – Part 1 (10:18)
• Regression on Larger Dataset – Part 2 (7:38)
• Regression on Larger Dataset – Part 3 (10:09)
• Section Summary (0:38)

Natural language processing.

• Section Introduction (1:03)
• Natural Language Processing – Part 1 (8:57)
• Natural Language Processing – Part 2 (3:57)
• Tokenizing Content (11:21)
• Processing Unique Words (13:11)
• Summarizing Headlines – Part 1 (9:18)
• Summarizing Headlines – Part 2 (11:54)
• Summarizing Headlines – Part 3 (8:31)
• Section Summary (0:50)

Clustering

• Section Introduction (1:03)
• Cluster Introduction (8:31)
• EM and M Clustering (6:18)
• Clustering Code Walkthrough (9:07)
• Clustering Iris Data – Part 1 (8:57)
• Clustering Iris Data – Part 2 (8:43)
• Clustering Iris Data – Part 3 (8:15)
• Dendrogram Graphs (10:01)
• Section Summary (0:59)
• Course Summary (2:00)

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