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Cryptocurrency Stock Time Series Analysis and Forecasting with Python and Facebook Prophet
00 Course Overview
00 Project Preview (3:03)
01 Mammoth Interactive Courses Introduction
01 How To Learn Online Effectively (13:46)
00 About Mammoth Interactive (1:12)
Source Files
02 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)
03 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)
04 Build Time Series Analysis Models
00 Bitcoin CSV Data
01 Load Crypto Prices Dataset (10:28)
02 Visualize Bitcoin Price Trend (4:53)
03 Predict Price With Facebook Prophet (6:23)
04 Analyze Model Performance (9:38)
05 Visualize Model Results (3:58)
06 Predict Monthly Trend (9:28)
07 Predict Weekly Trend (5:36)
08 Compare Final Stock Price Of Different Strategies (6:23)
Source Files
08 Compare Final Stock Price Of Different Strategies
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