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Predict Stock Trends with Twitter Sentiment Analysis Machine Learning
01 Mammoth Interactive Courses Introduction
00 About Mammoth Interactive (1:12)
01 How To Learn Online Effectively (13:46)
Source Files
02 Introduction to Python (Prerequisite)
00. Intro To Course And Python (9:57)
01. Variables (19:19)
02. Type Conversion Examples (10:06)
03. Operators (28:54)
04. Collections (8:24)
05. List Examples (19:41)
06. Tuples Examples (8:36)
07. Dictionaries Examples (14:26)
08. Ranges Examples (8:32)
09. Conditionals (6:43)
10. If Statement Examples (21:32)
11. Loops (29:42)
12. Functions (17:01)
13. Parameters And Return Values Examples (13:54)
14. Classes And Objects (34:11)
15. Inheritance Examples (17:29)
16. Static Members Examples (11:05)
17. Summary And Outro (4:08)
03 What is Machine Learning (Prerequisite)
01 What Is Machine Learning (5:27)
02 Types Of Machine Learning Models (12:12)
03 What Is Supervised Learning (10:39)
04 Preprocess Twitter Sentiment and Stock Prices Data
01 Fetch Twitter Sentiment And Stock Prices Datasets (5:34)
02 Merge Datasets Into Dataframe (11:46)
Source Files
05 Build a Random Forest Classifier Machine Learning Model
00 Project Preview (2:27)
01 What Is The Random Forest Classifier Model (5:42)
02-03 Processing And Sorting Sentiment Data-1 (14:40)
04 Calculate Stock Trend (Rising Or Falling) (8:16)
05 Build A Binary Encoding Of Sentiment (5:14)
06 Split And Scale Data (13:56)
07 Build A Random Forest Classifier Model (13:06)
08 Evaluate The Model (6:48)
Source Files
06 Build a Gradient Boosting Classifier
00 Project Preview (1:33)
01 What Is Gradient Boosting (1:56)
02 Test Different Learning Rates (8:09)
03 Make A Prediction With A Gradient Boosting Classifier (7:13)
04 Evaluate The Model (3:20)
Source Files
02-03 Processing And Sorting Sentiment Data-1
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