Python Machine Learning Projects
Access Duration - 365 Days
Guided Learning Hours (03)
Course Material
Number of Modules 06
5( 3 REVIEWS )
151 STUDENTS
Overview
Improve your knowledge on Python machine learning by taking this wonderful machine learning course. This Python Machine Learning 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 Python Machine Learning 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.
Why study at Global Edulink?
Global Edulink offers the most convenient path to gain recognised skills and training that will give you the opportunity to put into practice your knowledge and expertise in an IT or corporate environment. You can study at your own pace at Global Edulink and you will be provided with all the necessary material, tutorials, qualified course instructor, narrated e-learning modules and free resources which include Free CV writing pack, free career support and course demo to make your learning experience more enriching and rewarding.
- Access Duration
- Who is this course aimed at?
- Entry Requirements
- Method Of Assessment
- Certification
- Career Path
- Other benefits
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.
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.
- Learners must be age 16 or over and should have basic understanding of the English Language, numeracy, literacy and ICT.
- A basic knowledge on machine learning is required to follow up on this course
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.
Those who pass this test will get a certificate in Python Machine Learning Projects
This certificate will help improve your eligibility for a number of jobs in the web development industry. You can also use this certificate to expand your education in the area or to win the job promotion or salary increment put forth by your organisation. Mentioned below are some of the jobs this certificate will benefit you in, along with the average UK salary per annum according to https://www.payscale.com/career-path-planner,
- Web developer – £24,915 per annum
- Software engineer – £35,190 per annum
- Software developer - £30,753 per annum
- Computer programmer - £30,455 per annum
- Applications developer – £29,932 per annum
- 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 TOTUMÂ extra Discount Card.
- Recognised Accredited Qualification.
- Excellent customer service and administrative support
Key Features
Gain an Accredited UK Qualification
Access to Excellent Quality Study Materials
Personalised Learning Experience
Support by Phone, Live Chat, and Email
Eligible for TOTUM Discount Card
UK Register of Learning Providers Reg No : 10053842Course Curriculum
| Getting Started | |||
| Online Training User Manual | |||
| E Certificate Download Guide | 00:00:00 | ||
| Section 1: Build an App to Find Cheap Airfares | |||
| 1.1. The Course Overview | 00:00:00 | ||
| 1.2. Sourcing Airfare Pricing Data | 00:00:00 | ||
| 1.3. Retrieving the Fare Data with Advanced Web Scraping Techniques | 00:00:00 | ||
| 1.4. Parsing the DOM to Extract Pricing Data | 00:00:00 | ||
| 1.5. Sending Real-Time Alerts Using IFTTT | 00:00:00 | ||
| 1.6. Putting It All Together | 00:00:00 | ||
| Section 2: Forecast the IPO Market Using Logistic Regression | |||
| 2.1. The IPO Market | 00:00:00 | ||
| 2.2. Feature Engineering | 00:00:00 | ||
| 2.3. Binary Classification | 00:00:00 | ||
| 2.4. Feature Importance | 00:00:00 | ||
| Section 3: Create a Custom Newsfeed | |||
| 3.1. Creating a Supervised Training Set with the Pocket App | 00:00:00 | ||
| 3.2. Using the embed.ly API to Download Story Bodies | 00:00:00 | ||
| 3.3. Natural Language Processing Basics | 00:00:00 | ||
| 3.4. Support Vector Machines | 00:00:00 | ||
| 3.5. IFTTT Integration with Feeds, Google Sheets, and E-mail | 00:00:00 | ||
| 3.6. Setting Up Your Daily Personal Newsletter | 00:00:00 | ||
| Section 4: Forecasting the Stock Market With Machine Learning | |||
| 4.1. What Does Research Tell Us about the Stock Market? | 00:00:00 | ||
| 4.2. Developing a Trading Strategy | 00:00:00 | ||
| 4.3. Building a Model and Evaluating Its Performance | 00:00:00 | ||
| 4.4. Modeling with Dynamic Time Warping | 00:00:00 | ||
| Section 5: Build an Image Similarity Engine | |||
| 5.1. Machine Learning on Images | 00:00:00 | ||
| 5.2. Working with Images | 00:00:00 | ||
| 5.3. Finding Similar Images | 00:00:00 | ||
| 5.4. Building an Image Similarity Engine | 00:00:00 | ||
| Section 6: Building a Chatbot | |||
| 6.1. The Design of Chatbots | 00:00:00 | ||
| 6.2. Building a Chatbot | 00:00:00 | ||
| Mock Exam | |||
| Mock Exam : Python Machine Learning Projects | 00:40:00 | ||
| Exam | |||
| Exam : Python Machine Learning Projects | 00:40:00 | ||
Rose Howard
The course provided clear steps and explanations what we should do. It felt like a beginner’s guide to me, and I was completely fine with that as I didn’t have too much background knowledge on the subject. By the end of the course, I felt that I had learned more than I anticipated at the beginning.
Rhys Taylor
The course explained the concepts really well. It was more fast-paced, but I was able to keep up with it.
Maggie Shaw
I liked the content and the structure of the course, but I felt like it was done rather quickly. A little slower would have been better.