Stoneriverelearning – Machine Learning – Python

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If you’re plugged into the tech industry, you’ll know that two things have been making consistent waves in many areas over the past few years; machine learning and Python. What happens when you combine the new gold standard programming language – the most significant tech development in areas such as financial trading, online search, digital marketing and even data and personal security (among others)? Great things, that’s what. This course will show you what’s what, and get you started on becoming a machine learning guru.

Learn the New Future of Programming

  • 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

Increase Your Python Expertise

If you have a desire to learn machine learning concepts and have some previous programming or Python experience, this course is perfect for you. If you’re more of a beginner than an intermediate, don’t worry; each module starts – theory to explain upcoming concepts. Once you’re comfortable, you’ll put your knowledge into practice – a code walk through.

The goal of this course is to build procedural machine learning from the ground up. 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. Each code walk through also shows the building process in real time.

The course begins – an introduction to machine learning concepts, after which you’ll build your first machine learning application. Following that, we look at data analysis, linear algebra, natural language processing and clustering, all -in the context of Python. At the end of the course, you’ll be issued – a certificate of completion and will have gained a full introduction into the world of machine learning – Python.

What is Machine Learning?

Machine learning is a method of data analysis that essentially allows computers to ‘learn’ on their own -out being explicitly programmed. For example, when you stop scrolling through Facebook to read a friend or a page’s post, algorithms automatically work to make sure you’ll see more content from those sources earlier in your news feed in future.

 

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Course Curriculum

 

Course Introduction
  • Start

    Course Introduction (2:02)

Machine Learning Concepts
  • Start

    Section Introduction (0:38)

  • Preview

    Supervised and Unsupervised Learning (8:34)

  • Start

    Semi-Supervised Learning (4:25)

  • Start

    Section Summary (0:23)

First ML Application
  • Start

    Section Introduction (1:49)

  • Preview

    Installing the Environment (2:54)

  • Start

    Hello World (7:34)

  • Start

    Installing Aaconda and Deep Learning Libraries (10:18)

  • Start

    Email Spam Checker – Part 1 (7:09)

  • Start

    Email Spam Checker – Part 2 (13:39)

  • Start

    Email Spam Checker Results (8:35)

  • Start

    Iris 70:30 – Part 1 (8:56)

  • Preview

    Iris 70:30 – Part 2 (9:18)

  • Start

    Section Summary (0:44)

 

Data Analysis
  • Start

    Section Introduction (0:32)

  • Preview

    Data Analysis – Example 1 (12:57)

  • Start

    Data Analysis – Example 2 (10:47)

  • Start

    Data Visualization (8:44)

  • Start

    Section Summary (0:44)

Linear Algebra
  • Start

    Section Introduction (0:59)

  • Start

    Parametric Algorithms (6:52)

  • Start

    Linear Algebra (9:35)

  • Preview

    Linear Regression Calculation – Part 1 (12:42)

  • Start

    Linear Regression Calculation – Part 2 (5:03)

  • Start

    Regression on Larger Dataset – Part 1 (10:18)

  • Start

    Regression on Larger Dataset – Part 2 (7:38)

  • Start

    Regression on Larger Dataset – Part 3 (10:09)

  • Preview

    Section Summary (0:38)

Natural Language Processing
  • Start

    Section Introduction (1:03)

  • Preview

    Natural Language Processing – Part 1 (8:57)

  • Start

    Natural Language Processing – Part 2 (3:57)

  • Start

    Tokenizing Content (11:21)

  • Start

    Processing Unique Words (13:11)

  • Start

    Summarizing Headlines – Part 1 (9:18)

  • Preview

    Summarizing Headlines – Part 2 (11:54)

  • Start

    Summarizing Headlines – Part 3 (8:31)

  • Start

    Section Summary (0:50)

Clustering
  • Start

    Section Introduction (1:03)

  • Preview

    Cluster Introduction (8:31)

  • Start

    EM and M Clustering (6:18)

  • Start

    Clustering Code Walkthrough (9:07)

  • Start

    Clustering Iris Data – Part 1 (8:57)

  • Start

    Clustering Iris Data – Part 2 (8:43)

  • Start

    Clustering Iris Data – Part 3 (8:15)

  • Preview

    Dendrogram Graphs (10:01)

  • Start

    Section Summary (0:59)

  • Start

    Course Summary (2:00)

Forex Trading – Foreign Exchange Course

Want to learn about Forex?

Foreign exchange, or forex, is the conversion of one country’s currency into another.
In a free economy, a country’s currency is valued according to the laws of supply and demand.
In other words, a currency’s value can be pegged to another country’s currency, such as the U.S. dollar, or even to a basket of currencies.
A country’s currency value may also be set by the country’s government.
However, most countries float their currencies freely against those of other countries, which keeps them in constant fluctuation.


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