04. Tweak Model with Spam Data | StackSkills

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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 (12:36)
Types of Collections in Python (12:47)
Collections Operations (8:42)
Control Flow: 'If' Statements (12:50)
'While' Loops and 'For' Loops (10:45)
Functions (11:23)
Classes and Objects (15:40)

Introduction to Data Mining

Introduction to Data Mining (9:31)
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 (5:33)
05. Pipeline with Spam Data (4:48)
Project Files - Mammoth Interactive

Conclusion and Challenge

06. Conclusion and Challenge (4:40)
Project Files - Mammoth Interactive

04. Tweak Model with Spam Data

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