Python Machine Learning Projects [Video]

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Python Machine Learning Projects [Video]

Alexander T. Combs

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Get up-and-running via Machine Learning with Python's insightful projects
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Video Details

ISBN 139781787128033
Course Length2 hours 56 minutes

Video Description

Machine learning gives you unimaginably powerful insights into data. Today, implementations of machine learning have been adopted throughout Industry and its concepts are numerous. This video is a unique blend of projects that teach you what Machine Learning is all about and how you can implement machine learning concepts in practice. Six different independent projects will help you master machine learning in Python. The video will cover concepts such as classification, regression, clustering, and more, all the while working with different kinds of databases. By the end of the course, you will have learned to apply various machine learning algorithms and will have mastered Python's packages and libraries to facilitate computation. You will be able to implement your own machine learning models after taking this course.

Style and Approach

This video is a combination of six independent projects, each taking a unique dataset, a different problem statement, and a different solution.

Table of Contents

Build an App to Find Cheap Airfares
The Course Overview
Sourcing Airfare Pricing Data
Retrieving the Fare Data with Advanced Web Scraping Techniques
Parsing the DOM to Extract Pricing Data
Sending Real-Time Alerts Using IFTTT
Putting It All Together
Forecast the IPO Market Using Logistic Regression
The IPO Market
Feature Engineering
Binary Classification
Feature Importance
Create a Custom Newsfeed
Creating a Supervised Training Set with the Pocket App
Using the embed.ly API to Download Story Bodies
Natural Language Processing Basics
Support Vector Machines
IFTTT Integration with Feeds, Google Sheets, and E-mail
Setting Up Your Daily Personal Newsletter
Forecasting the Stock Market with Machine Learning
What Does Research Tell Us about the Stock Market?
Developing a Trading Strategy
Building a Model and Evaluating Its Performance
Modeling with Dynamic Time Warping
Build an Image Similarity Engine
Machine Learning on Images
Working with Images
Finding Similar Images
Building an Image Similarity Engine
Building a Chatbot
The Design of Chatbots
Building a Chatbot

What You Will Learn

  • Explore and use Python's impressive machine learning ecosystem
  • Successfully evaluate and apply the most effective models to problems
  • Learn the fundamentals of NLP—and put them into practice
  • Visualize data for maximum impact and clarity
  • Deploy machine learning models using third-party APIs
  • Get to grips with feature engineering

Authors

Table of Contents

Build an App to Find Cheap Airfares
The Course Overview
Sourcing Airfare Pricing Data
Retrieving the Fare Data with Advanced Web Scraping Techniques
Parsing the DOM to Extract Pricing Data
Sending Real-Time Alerts Using IFTTT
Putting It All Together
Forecast the IPO Market Using Logistic Regression
The IPO Market
Feature Engineering
Binary Classification
Feature Importance
Create a Custom Newsfeed
Creating a Supervised Training Set with the Pocket App
Using the embed.ly API to Download Story Bodies
Natural Language Processing Basics
Support Vector Machines
IFTTT Integration with Feeds, Google Sheets, and E-mail
Setting Up Your Daily Personal Newsletter
Forecasting the Stock Market with Machine Learning
What Does Research Tell Us about the Stock Market?
Developing a Trading Strategy
Building a Model and Evaluating Its Performance
Modeling with Dynamic Time Warping
Build an Image Similarity Engine
Machine Learning on Images
Working with Images
Finding Similar Images
Building an Image Similarity Engine
Building a Chatbot
The Design of Chatbots
Building a Chatbot

Video Details

ISBN 139781787128033
Course Length2 hours 56 minutes
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