Machine Learning with Python

Course Overview

Many people want to learn machine learning but feel lost with complex code and unclear terms. They try online resources but give up when things get confusing. Some want to switch careers, others want to improve their current job skills, but most face the same problem—learning machine learning without any clear structure or guidance. This can lead to frustration, wasted time, and low confidence in their ability to move forward.

This course solves that problem by offering a clear path to learn machine learning using Python. It explains how algorithms work and when to use them. It also shows how to clean data, choose the right model, and get useful results. You will use real examples and see how each method fits into real-life scenarios. The steps are easy to follow and do not require deep maths or advanced coding skills. Python is used because it’s easy to read and widely used in data science jobs today.

You will learn by doing simple exercises and applying what you learn as you go. You will build a strong base in regression, classification, and data processing. The course will also help you think clearly when solving machine learning problems. You will learn how to turn raw data into predictions that can support decision making in many industries. Whether you're new to coding or want to shift towards machine learning, this course gives you a smooth start.

Learning Outcomes

• Understand how common machine learning algorithms work and when to use them
• Use Python to clean data and prepare it for machine learning tasks
• Apply regression models to predict outcomes from numerical data
• Train classification models to group data based on input features
• Improve your thinking around machine learning problems and model evaluation

Course Curriculum:

• Module 01: Introduction to Machine Learning Algorithms
• Module 02: Preprocessing
• Module 03: Regression
• Module 04: Classification

Who Is This Course For?

This course is for beginners who want to learn machine learning using Python. It suits people who are curious about data, want to change careers, or improve their current job roles. It is also helpful for students or business analysts who want to make better use of data.

Certificate of Achievement

After successfully completing the assessment of this course, you can apply for the CPD accredited certificates. The PDF version is only £2.99 and the Hardcopy version will cost you £8.99.

Career Opportunities After Completing This Course

After completing this course, learners may apply for roles such as:

• Data Analyst – £28,000 to £42,000 per year
• Junior Machine Learning Engineer – £35,000 to £50,000 per year
• AI Research Assistant – £32,000 to £48,000 per year
• Data Science Intern – £20,000 to £30,000 per year
• Data Engineer – £38,000 to £55,000 per year
• Business Intelligence Analyst – £30,000 to £45,000 per year
• Python Developer – £35,000 to £52,000 per year
• Data Modeller – £40,000 to £58,000 per year
• Analytics Consultant – £45,000 to £60,000 per year
• Risk Analyst – £35,000 to £50,000 per year