Machine Learning using Python

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Machine Learning Using Python

Course Introduction

 

Machine Learning Concepts

 

 Section Introduction

 

 Supervised and Unsupervised Learning

 

 Semi-Supervised Learning

 

 Section Summary

 

First ML Application

 

 Section Introduction

 

 Installing the Environment

 

 Hello World

 

 Installing Aaconda and Deep Learning Libraries

 

 Email Spam Checker – Part  1

 

 Email Spam Checker – Part  2

 

 Email Spam Checker Results

 

 Iris : – Part  1

 

 Iris : – Part  2

 

 Section Summary

 

Data Analysis

 

 Section Introduction

 

 Data Analysis – Example  

 

 Data Analysis – Example  

 

 Data Visualization

 

 Section Summary

 

Linear Algebra

 

 Section Introduction

 

 Parametric Algorithms

 

 Linear Algebra

 

 Linear Regression Calculation – Part  1

 

 Linear Regression Calculation – Part  2

 

 Regression on Larger Dataset – Part  1

 

 Regression on Larger Dataset – Part  2

 

 Regression on Larger Dataset – Part  3

 

 Section Summary

 

Natural Language Processing

 

 Section Introduction

 

 Natural Language Processing – Part  

 

 Natural Language Processing – Part  

 

 Tokenizing Content

 

 Processing Unique Words

 

 Summarizing Headlines – Part  

 

 Summarizing Headlines – Part  

 

 Summarizing Headlines – Part  

 

 Section Summary

 

Clustering

 

 Section Introduction

 

 Cluster Introduction

 

 EM and M Clustering

 

 Clustering Code Walkthrough

 

 Clustering Iris Data – Part  1

 

 Clustering Iris Data – Part  2

 

 Clustering Iris Data – Part  3

 

 Dendrogram Graphs

 

 Section Summary

 

 Course Summary

 

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