• LOGIN
  • No products in the cart.

Get up-and-running via Machine Learning with Python’s insightful projects.


Course 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.

Learning Outcomes

  • 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

Pre-requisite

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

Who is this course intended for?

This course appeals to those developers who have a basic machine learning knowledge and want to explore the various arenas of machine learning by creating insightful and interesting projects.

Your Instructor

Packt Publishing

Packt has been committed to developer learning since 2004. A lot has changed in software since then – but Packt has remained responsive to these changes, continuing to look forward at the trends and tools defining the way we work and live. And how to put them to work.

With an extensive library of content – more than 4000 books and video courses -Packt’s mission is to help developers stay relevant in a rapidly changing world. From new web frameworks and programming languages, to cutting edge data analytics, and DevOps, Packt takes software professionals in every field to what’s important to them now.

From skills that will help you to develop and future proof your career to immediate solutions to every day tech challenges, Packt is a go-to resource to make you a better, smarter developer.

Course Curriculum

Build an App to Find Cheap Airfares
The Course Overview 00:00:00
Sourcing Airfare Pricing Data 00:00:00
Retrieving the Fare Data with Advanced Web Scraping Techniques 00:00:00
Parsing the DOM to Extract Pricing Data 00:00:00
Sending Real-Time Alerts Using IFTTT 00:00:00
Putting It All Together 00:00:00
Forecast the IPO Market Using Logistic Regression
The IPO Market 00:00:00
Feature Engineering 00:00:00
Binary Classification 00:00:00
Feature Importance 00:00:00
Create a Custom Newsfeed
Creating a Supervised Training Set with the Pocket App 00:00:00
Using the embed.ly API to Download Story Bodies 00:00:00
Natural Language Processing Basics 00:00:00
Support Vector Machines 00:00:00
IFTTT Integration with Feeds, Google Sheets, and E-mail 00:00:00
Setting Up Your Daily Personal Newsletter 00:00:00
Forecasting the Stock Market with Machine Learning
What Does Research Tell Us about the Stock Market? 00:00:00
Developing a Trading Strategy 00:00:00
Building a Model and Evaluating Its Performance 00:00:00
Modeling with Dynamic Time Warping 00:00:00
Build an Image Similarity Engine
Machine Learning on Images 00:00:00
Working with Images 00:00:00
Finding Similar Images 00:00:00
Building an Image Similarity Engine 00:00:00
Building a Chatbot
The Design of Chatbots 00:00:00
Building a Chatbot 00:00:00

Course Reviews

N.A

ratings
  • 5 stars0
  • 4 stars0
  • 3 stars0
  • 2 stars0
  • 1 stars0

No Reviews found for this course.

TAKE THIS COURSE
  • $99.00 $10.00
  • UNLIMITED ACCESS
  • Course Certificate
STUDENTS ENROLLED
    © Learnsector