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Feature Analysis and Data Science with Stocks for Beginners
Course Overview
Course Overview (3:51)
01 Mammoth Interactive Courses Introduction
00 About Mammoth Interactive (1:12)
01 How To Learn Online Effectively (13:46)
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 Perform Feature Analysis and Data Science
01 Load And Create Data (9:55)
02 Perform Exploratory Data Analysis (3:41)
03 Visualize Data With Different Plots (11:06)
04 Analyze Features With More Plots (6:17)
05 Build Plots With Seaborn (4:35)
06 Build A Bokeh Plot (6:16)
07 Build A 3D Scatter Plot (3:45)
08 Rank Feature Importance (7:13)
09 Compare Positive And Negative Returns (8:06)
Source Files
13. Parameters And Return Values Examples
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