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Beginner Data Science and Machine Learning Bootcamp
00 Course Overview
01 Project Preview (3:29)
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 Introduction to Machine Learning (Prerequisite)
01 What Is Machine Learning (5:26)
02 What Is Unsupervised Learning (8:17)
04 Project - Classify Review Sentiment
01 Create A Dataset (5:16)
02 Vectorize Text (16:27)
03 Build A Word Cloud (7:08)
04 Reduce Data Dimensionality With Principal Component Analysis (6:08)
05 Perform Unsupervised Classification With K-Means Clusters (17:33)
Source Files
14. Classes And Objects
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