Python for Machine Learning: The Complete Beginner’s Course Overview

This course explores Python programming for machine learning and is suitable for beginners. You will discover how to create your own development environment and investigate basic machine learning algorithms.  In order to make predictions, we’ll explore classification algorithms like K-Nearest Neighbours, Decision Trees, and Logistic Regression in addition to linear regression for relationship analysis.  Recommender system concepts and data clustering techniques are also on the agenda.  By the end, you’ll understand the fundamentals of machine learning and have a strong foundation in Python.

Learning Outcomes

• Understand the principles of machine learning.
• Create a Python environment in order to develop machine learning.
• Use Python to implement both single and multiple linear regression.
• K-Nearest Neighbours can be used for classification tasks.
• Construct decision trees to aid in forecasting.
• For problems involving classification, use logistic regression.
• Use clustering algorithms to efficiently organise data.
• Recognise the ideas underlying recommender systems.
• To apply machine learning algorithms, write Python code.
• Obtain the self-assurance to investigate additional machine learning subjects.

Why Choose Us

• Affordable, engaging & high-quality e-learning study materials;
• Tutorial videos/materials from the industry-leading experts;
• Study in a user-friendly, advanced online learning platform;
• Efficient exam systems for the assessment and instant result;
• The UK & internationally recognised accredited
• Access to course content on mobile, tablet or desktop from anywhere, anytime;
• The benefit of career advancement opportunities;
• 24/7 student support via email.

Career Path

Numerous interesting career paths are accessible with a solid foundation in Python and machine learning.  Using Python, you could develop and implement machine learning models in your career as a machine learning engineer.  Python is used by data scientists to analyse data and develop machine learning algorithms.  You will graduate from this course with the necessary skills to launch a successful career in this in-demand industry.