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Data Mining with Python: Implementing Classification and Regression
Introduction to Data Mining
The Course Overview
A Brief Introduction to Data Mining
Data Mining Basic Concepts and Applications
Setting Up the Data Mining Python Packages Environment
Why Python?
Basics of Python
Installing IPython
Installing the Numpy Library
Installing the pandas Library
Installing Matplotlib
Installing scikit-learn
Cleaning Data and Preprocessing Techniques
Data Cleaning
Data Preprocessing Techniques
Linear Regression Model
Linear Regression Basic Model Approach
Evaluating Regression Models
Basic Regression Model Implementation to Predict House Prices
Regression Model Implementation to Predict Television Show Viewers
Classification Concepts
Logistic Regression
K – Nearest Neighbors Classifier
Support Vector Machine
Logistic Regression Model Implementation
K – Nearest Neighbor Classifier Implementation
Data Mining Basic Concepts and Applications
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