Predict Stock Trends with Twitter Sentiment Analysis Machine Learning
Learn how to snag the most in demand role in the tech field today!
Created by John Bura
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Skill level
All levels
02
Sections
3
03
Lectures
19
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Instructor
John Bura
What's inside
This course includes.
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3
Sections
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19
Lectures
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19
Resources
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Certificate of completion
Included
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Mobile and desktop access
Included
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AI learning assistance
Included
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Course content
Curriculum & lectures.
+ 01 Preprocess Twitter Sentiment and Stock Prices Data 3 lectures
Source Files
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01 Fetch Twitter Sentiment And Stock Prices Datasets
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02 Merge Datasets Into Dataframe
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+ 02 Build a Random Forest Classifier Machine Learning Model 10 lectures
01 Project Preview
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01 What Is The Random Forest Classifier Model
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02 Process Stock And Sentiment Dataframe
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03 Sort Polarity Into Positive, Negative And Neutral Sentiment-4
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04 Calculate Stock Trend (Rising Or Falling)-5
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05 Build A Binary Encoding Of Sentiment-6
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06 Split And Scale Data-7
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07 Build A Random Forest Classifier Model-8
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08 Evaluate The Model-9
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Source Files
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+ 03 Build a Gradient Boosting Classifier 6 lectures
00 Project Preview
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01 What Is Gradient Boosting
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02 Test Different Learning Rates
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03 Make A Prediction With A Gradient Boosting Classifier
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04 Evaluate The Model
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Source Files
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Description
About this course.
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Instructors
Taught by people who ship.
John Bura
Founder and CEO of Mammoth Club and Course Pro, the #1 AI-powered Learning Management System for course and content development, training and evaluation.
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Learn how to snag the most in demand role in the tech field today!