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Data Mining with Python! Real-Life Data Science Exercises
Course Trailer
Course Trailer: Data Mining with Python (0:29)
Python Language Basics for Beginners
Learning Python in Pycharm (2:40)
Source Files - Learning Python with Mammoth Interactive
Downloading and Installing Pycharm and Python
Exploring Pycharm
Declaring Variables in Python (13:17)
Using and Converting Variables (12:35)
Types of Collections in Python (12:47)
Collections Operations (8:42)
Control Flow: 'If' Statements (12:50)
'While' Loops and 'For' Loops (10:44)
Functions (11:23)
Classes and Objects (15:40)
Introduction to Data Mining
Introduction to Data Mining (9:30)
Project Files - Mammoth Interactive
Data Wrangling: A Complete Overview
Data Wrangling Demystified (63:56)
Project Files - Mammoth Interactive
Data Mining Fundamentals
01. Cluster Analysis (20:08)
02. Classification and Regression (34:30)
03. Association and Correlation (13:10)
04. Dimensionality Reduction (25:38)
Project Files - Mammoth Interactive
Frameworks Explained: Taming Data with Spark
01. Apache Spark - An Overview Of The Framework (26:36)
02. Spark Key Functions (20:26)
03. Spark Machine Learning (7:32)
04. EXAMPLES - Using The Machine Learning Pipeline (6:16)
Project Files - Mammoth Interactive
EXAMPLES: Mining and Storing Data
01. Text Mining (15:05)
02. Network Mining (10:11)
03. Matrix (7:16)
04. SQL (12:35)
Project Files - Mammoth Interactive
NLP (Natural Language Processing)
01 NLP Data Cleaning (6:55)
02. Count Vectorizer (7:58)
03. NLP Example with Spam (9:59)
04. Tweak Model with Spam Data (5:32)
05. Pipeline with Spam Data (4:48)
Project Files - Mammoth Interactive
Conclusion and Challenge
06. Conclusion and Challenge (4:40)
Project Files - Mammoth Interactive
Control Flow: 'If' Statements
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