Build A Machine Learning Bot To Trade Based On Social Media

Build AI agents in Jupyter Notebooks!

What you'll learn
Build machine learning algorithms
Code in Python
Trade cryptocurrency automatically
Analyze data from Twitter
Requirements
No experience necessary
Description
Build a Machine Learning Bot to Trade Based on Social MediaSince 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 belowBy 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.

Overview

Section 1: 00a Course Overview

Lecture 1 00 Course Overview

Lecture 2 Source Files

Section 2: 00b Mammoth Interactive Courses Introduction

Lecture 3 00 About Mammoth Interactive

Lecture 4 01 How To Learn Online Effectively

Lecture 5 Source Files

Section 3: 01 Introduction to Python (Prerequisite)

Lecture 6 00. Intro To Course And Python

Lecture 7 01. Variables

Lecture 8 02. Type Conversion Examples

Lecture 9 03. Operators

Lecture 10 04. Collections

Lecture 11 05. List Examples

Lecture 12 06. Tuples Examples

Lecture 13 07. Dictionaries Examples

Lecture 14 08. Ranges Examples

Lecture 15 09. Conditionals

Lecture 16 10. If Statement Examples

Lecture 17 11. Loops

Lecture 18 12. Functions

Lecture 19 13. Parameters And Return Values Examples

Lecture 20 14. Classes And Objects

Lecture 21 15. Inheritance Examples

Lecture 22 16. Static Members Examples

Lecture 23 17. Summary And Outro

Lecture 24 Source Files

Section 4: 02 Scrape and Process Tweets

Lecture 25 01 Get Twitter Developer API

Lecture 26 02 Get Latest Tweet Via API

Lecture 27 03 Check If Tweeted About Cryptocurrency

Lecture 28 Source Files

Section 5: 03 Tweet Sentiment Analysis

Lecture 29 01 What Is Sentiment Analysis

Lecture 30 02 Analyze Tweet Sentiment

Lecture 31 Source Files

Section 6: 04 Buy Cryptocurrency Algorithmically - Test with Sandbox

Lecture 32 01 Get Coinbase Pro Sandbox API

Lecture 33 02 Open Coinbase Pro Sandbox Account Via API

Lecture 34 03 Test Buy From Coinbase Sandbox Via API

Lecture 35 Source Files

Section 7: 05 Buy Cryptocurrency Algorithmically - Real Coins

Lecture 36 01 Get Coinbase API

Lecture 37 02 Buy Cryptocurrency From API

Lecture 38 Source Files

Section 8: 06 Run Bot All Day

Lecture 39 01 Run Bot All Day

Lecture 40 Source Files

Section 9: 07 Buy Doge with Kraken API

Lecture 41 01 How To Access Kraken API

Lecture 42 02 Buy Doge Algorithmically

Lecture 43 Source Files

Section 10: 08 Data Analysis - Other Cryptos Affected by Tweets

Lecture 44 00 Project Preview

Lecture 45 01 Fetch Crypto Stock Data

Lecture 46 02 Visualize Crypto Data

Lecture 47 03 Scrape Historical Tweets

Lecture 48 04 Filter Tweets About Crypto Only

Lecture 49 05 Visualize Tweet Effects On Crypto Value

Lecture 50 Source Files

Section 11: 09 How to Expand Bot

Lecture 51 01 Challenge - How To Expand Bot

Lecture 52 Source Files

Anyone interested in trading algorithmically with machine learning