Course Curriculum

Introduction to Course 00:06:00
What is Machine Learning 00:05:00
Life Cycle 00:05:00
Introduction to Numpy Library 00:07:00
Creating Arrays from Scratch 00:06:00
Creating Arrays from Scratch Continued 00:05:00
Array Indexing and Slicing 00:10:00
Numpy Array Functions and Shape Modification 00:09:00
Mathematical Operations on Numpy Arrays 00:07:00
Introduction to Pandas Library 00:10:00
Working with Pandas DataFrames 00:07:00
Slicing and Indexing with Pandas 00:07:00
Create DataFrame and Explore Dataset 00:08:00
Data Analysis with Pandas DataFrame 00:12:00
Other Useful Methods in Pandas Library 00:04:00
Introduction to Matplotlib 00:06:00
Customizing Line Plots 00:08:00
Create Plot Using DataFrame 00:09:00
Standard Scaler to Scale the Data 00:06:00
Encoding Categorical Data 00:11:00
Sklearn Pipeline and Column Transformer 00:12:00
Evaluation Metrics in Sklearn 00:07:00
Linear Regression 00:12:00
Evaluation of Linear Regression Model 00:10:00
Polynomial Regression 00:13:00
Polynomial Regression Continued 00:13:00
Sklearn Pipeline Polynomial Regression 00:11:00
Decision Tree Classifier 00:13:00
Decision Tree Evaluation 00:07:00
Random Forest 00:06:00
Support Vector Machines 00:09:00
K-means Clustering 00:04:00
KMeans Clustering – Hands On 00:12:00
Data Loading and Analysis 00:06:00
Dimensionality Reduction with PCA 00:09:00
Hyper Parameter Tuning 00:09:00
Summary 00:02:00
Resource – Machine Learning with Python Course 00:00:00

Overview

Machine Learning with Python Course is a comprehensive introduction to machine learning using Python, the world’s leading programming language for data science and artificial intelligence. Whether you’re starting a career in AI, improving your programming skills, or exploring predictive analytics, this course provides a practical, step-by-step learning experience.

You’ll begin by understanding the fundamentals of Machine Learning with Python, including the machine learning workflow and key concepts. You’ll then learn to work with essential Python libraries such as NumPy, Pandas, and Matplotlib to prepare, analyse, and visualise data. As your skills grow, you’ll build and evaluate models using linear regression, polynomial regression, decision trees, random forests, support vector machines (SVMs), clustering, and dimensionality reduction techniques.

Designed for beginners and aspiring data scientists, AI developers, and Python programmers, this course combines theory with hands-on practice to help you develop real-world machine learning skills. No advanced mathematics or previous machine learning experience is required, just curiosity and a willingness to learn.

Learning Outcomes

  • Explain what machine learning is and how a typical project is structured
  • Use Python libraries such as NumPy and Pandas to organise and explore data
  • Create clear visualisations of your data using Matplotlib
  • Build and evaluate regression models to predict numerical outcomes
  • Apply classification techniques, including decision trees and random forests
  • Use clustering methods to group and simplify complex datasets
  • Fine-tune model performance using practical hyperparameter tuning techniques

Will I receive a certificate of completion?

Upon successful completion, you will qualify for the UK and internationally-recognised CPD accredited certification. You can choose to make your achievement formal by obtaining your PDF Certificate at the cost of £9 and Hard Copy Certificate for £15.

Why study this course

It doesn’t matter if you are an aspiring professional or absolute beginner; this course will enhance your expertise and boost your CV with critical skills and an accredited certification attesting to your knowledge.

The Machine Learning with Python Course is fully available to anyone, and no previous qualifications are needed to enrol. All Cambridge Open Academy needs to know is that you are eager to learn and are over 16.

Certification:​

Once you have successfully completed this course, you can order a certificate as proof of your achievement.

A PDF certificate is available for £5.99. You can also request a hardcopy certificate for £9.99.

Delivery of the hardcopy certificate is free within the United Kingdom. For international learners, an additional delivery charge will apply based on the destination country.

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