Python Machine Learning Projects

Overview

Improve your knowledge on machine learning by taking this wonderful machine learning course with Python. This course has been specifically developed to provide you a hands-on knowledge on machine learning by guiding you on six different projects that will apply machine learning in real life scenarios. This accredited qualification might just be the qualification you were looking for to get into or progress within the web and application development industry.

The first project of this course will guide you on building an application that will enable access to cheap airfares. You will be taught on how to source and retrieve air pricing data from websites using web scraping techniques and to incorporate the IFTTT feature that will send out real-time alerts when an event occurs within the application.

The next project will teach you on how to forecast the IPO market using logistics regression, feature engineering and binary classification. The course will then move onto expose you to the basics of Natural Language Processing to transform text into numerical data that are needed for machine learning models to work on, along with guidelines on how to create a supervised training dataset with pocket app.

The next projects will educate you on how to forecast the stock market and build an image similarity engine by exploring the concepts of machine learning. You will also get to discover how to build a chatbox by including parameters such as the mode of communication, content, messaging and many more within the application. By the end of this course, you will have a great practical knowledge on machine learning with Python to apply it in your web and application development activities.

Course Curriculum

• Section 1: Build An App To Find Cheap Airfares
• Section 2: Forecast The Ipo Market Using Logistic Regression
• Section 3: Create A Custom Newsfeed
• Section 4: Forecasting The Stock Market With Machine Learning
• Section 5: Build An Image Similarity Engine
• Section 6: Building A Chatbot

Access duration

The course will be directly delivered to you, and you have 12 months access to the online learning platform from the date you joined the course.  The course is self-paced and you can complete it in stages, revisiting the lectures at any time.

Who is this course aimed at?

This course might interest individuals looking to get a grip on Python machine learning to get into or progress within the web and application development industry.

Method of assessment

The course is assessed online with a final, multiple-choice test, which is marked automatically. You will know instantly whether you have passed the course.

Certification

Those who pass this test will get a certificate in Python Machine Learning Projects

Other Benefits

• High-quality e-learning study materials and mock exams.
• Tutorials/materials from the industry leading experts.
• 24/7 Access to the Learning Portal.
• The benefit of applying for TOTUM extra Discount Card.
• Recognised Accredited Qualification.
• Excellent customer service and administrative support