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Build a Machine Learning Bot to Trade Based on Social Media

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Build a Machine Learning Bot to Trade Based on Social Media, available at $49.99, with 52 lectures, and has 17 subscribers.

You will learn about Build machine learning algorithms Code in Python Trade cryptocurrency automatically Analyze data from Twitter This course is ideal for individuals who are Anyone interested in trading algorithmically with machine learning It is particularly useful for Anyone interested in trading algorithmically with machine learning.

Enroll now: Build a Machine Learning Bot to Trade Based on Social Media

Summary

Title: Build a Machine Learning Bot to Trade Based on Social Media

Price: $49.99

Number of Lectures: 52

Number of Published Lectures: 52

Number of Curriculum Items: 52

Number of Published Curriculum Objects: 52

Original Price: $199.99

Quality Status: approved

Status: Live

What You Will Learn

  • Build machine learning algorithms
  • Code in Python
  • Trade cryptocurrency automatically
  • Analyze data from Twitter

Who Should Attend

  • Anyone interested in trading algorithmically with machine learning

Target Audiences

  • Anyone interested in trading algorithmically with machine learning

Build a Machine Learning Bot to Trade Based on Social Media

Since 2006, Twitter has been a continuously growing source of information, keeping us informed about all and nothing. It is estimated that more than 6,000 tweets are exchanged on the platform every second, making it an inexhaustible mine of information that it would be a shame not to use.

Fortunately, there are different ways to process tweets in an automated way, and retrieve precise information in an instant … Interested in learning such a solution in a quick and easy way? Take a look below

By taking this course, you will learn all the steps necessary to build your own Tweet Sentiment prediction model. That said, you will learn much more as the course is separated into 4 different parts, linked together, but providing its share of knowledge in a particular field (Text Mining, NLP and Machine Learning).

Alexandra Kropova is a software developer with extensive experience in full-stack web development, app development and game development. She has helped produce courses for Mammoth Interactive since 2016, including the Coding Interview series in Java, JavaScript, C++, C#, Python and Swift.

When does the course start and finish?

The course starts now and never ends! It is a completely self-paced online course – you decide when you start and when you finish.

How long do I have access to the course?

How does lifetime access sound? After enrolling, you have unlimited access to this course for as long as you like – across any and all devices you own.

Course Curriculum

Chapter 1: 00a Course Overview

Lecture 1: 00 Course Overview

Lecture 2: Source Files

Chapter 2: 00b Mammoth Interactive Courses Introduction

Lecture 1: 00 About Mammoth Interactive

Lecture 2: 01 How To Learn Online Effectively

Lecture 3: Source Files

Chapter 3: 01 Introduction to Python (Prerequisite)

Lecture 1: 00. Intro To Course And Python

Lecture 2: 01. Variables

Lecture 3: 02. Type Conversion Examples

Lecture 4: 03. Operators

Lecture 5: 04. Collections

Lecture 6: 05. List Examples

Lecture 7: 06. Tuples Examples

Lecture 8: 07. Dictionaries Examples

Lecture 9: 08. Ranges Examples

Lecture 10: 09. Conditionals

Lecture 11: 10. If Statement Examples

Lecture 12: 11. Loops

Lecture 13: 12. Functions

Lecture 14: 13. Parameters And Return Values Examples

Lecture 15: 14. Classes And Objects

Lecture 16: 15. Inheritance Examples

Lecture 17: 16. Static Members Examples

Lecture 18: 17. Summary And Outro

Lecture 19: Source Files

Chapter 4: 02 Scrape and Process Tweets

Lecture 1: 01 Get Twitter Developer API

Lecture 2: 02 Get Latest Tweet Via API

Lecture 3: 03 Check If Tweeted About Cryptocurrency

Lecture 4: Source Files

Chapter 5: 03 Tweet Sentiment Analysis

Lecture 1: 01 What Is Sentiment Analysis

Lecture 2: 02 Analyze Tweet Sentiment

Lecture 3: Source Files

Chapter 6: 04 Buy Cryptocurrency Algorithmically – Test with Sandbox

Lecture 1: 01 Get Coinbase Pro Sandbox API

Lecture 2: 02 Open Coinbase Pro Sandbox Account Via API

Lecture 3: 03 Test Buy From Coinbase Sandbox Via API

Lecture 4: Source Files

Chapter 7: 05 Buy Cryptocurrency Algorithmically – Real Coins

Lecture 1: 01 Get Coinbase API

Lecture 2: 02 Buy Cryptocurrency From API

Lecture 3: Source Files

Chapter 8: 06 Run Bot All Day

Lecture 1: 01 Run Bot All Day

Lecture 2: Source Files

Chapter 9: 07 Buy Doge with Kraken API

Lecture 1: 01 How To Access Kraken API

Lecture 2: 02 Buy Doge Algorithmically

Lecture 3: Source Files

Chapter 10: 08 Data Analysis – Other Cryptos Affected by Tweets

Lecture 1: 00 Project Preview

Lecture 2: 01 Fetch Crypto Stock Data

Lecture 3: 02 Visualize Crypto Data

Lecture 4: 03 Scrape Historical Tweets

Lecture 5: 04 Filter Tweets About Crypto Only

Lecture 6: 05 Visualize Tweet Effects On Crypto Value

Lecture 7: Source Files

Chapter 11: 09 How to Expand Bot

Lecture 1: 01 Challenge – How To Expand Bot

Lecture 2: Source Files

Instructors

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Frequently Asked Questions


How long do I have access to the course materials?


You can view and review the lecture materials indefinitely, like an on-demand channel.


Can I take my courses with me wherever I go?


Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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