Course Curriculum

Introduction to Predictive Analysis 00:09:00
Random Forest and Extremely Random Forest 00:11:00
Dealing with Class Imbalance 00:07:00
Grid Search 00:09:00
Adaboost Regressor 00:08:00
Predicting Traffic Using Extremely Random Forest Regressor 00:02:00
Traffic Prediction 00:07:00
Detecting patterns with Unsupervised Learning 00:05:00
Clustering 00:07:00
Clustering Meanshift 00:04:00
Clustering Meanshift Continues 00:06:00
Affinity Propagation Model 00:05:00
Affinity Propagation Model Continues 00:05:00
Clustering Quality 00:05:00
Program of Clustering Quality 00:07:00
Gaussian Mixture Model 00:04:00
Program of Gaussian Mixture Model 00:08:00
Classification in Artificial Intelligence 00:03:00
Processing Data 00:09:00
Logistic Regression Classifier 00:03:00
Logistic Regression Classifier Example Using Python 00:07:00
Naive Bayes Classifier and its Examples 00:11:00
Confusion Matrix 00:04:00
Example os Confusion Matrix 00:06:00
Support Vector Machines Classifier(SVM) 00:05:00
SVM Classifier Examples 00:08:00
Concept of Logic Programming 00:11:00
Matching the Mathematical Expression 00:07:00
Parsing Family Tree and its Example 00:09:00
Analyzing Geography Logic Programming 00:05:00
Puzzle Solver and its Example 00:06:00
What is Heuristic Search 00:06:00
Local Search Technique 00:09:00
Constraint Satisfaction Problem 00:09:00
Region Coloring Problem 00:05:00
Building Maze 00:07:00
Puzzle Solver 00:09:00
Natural Language Processing 00:06:00
Examine Text Using NLTK 00:04:00
Raw Text Accessing (Tokenization) 00:11:00
NLP Pipeline and Its Example 00:07:00
Regular Expression with NLTK 00:05:00
Stemming 00:07:00
Lemmatization 00:06:00
Segmentation 00:06:00
Segmentation Example 00:03:00
Segmentation Example Continues 00:04:00
Information Extraction 00:09:00
Tag Patterns 00:03:00
Chunking 00:09:00
Representation of Chunks 00:05:00
Chinking 00:07:00
Chunking wirh Regular Expression 00:08:00
Named Entity Recognition 00:06:00
Trees 00:07:00
Context Free Grammar 00:03:00
Recursive Descent Parsing 00:06:00
Recursive Descent Parsing Continues 00:06:00
Shift Reduce Parsing 00:08:00

Overview

Become a trained professional from the safety and comfort of your own home by taking Learn AI with Python . Whatever your situation and requirements, Cambridge Open Academy can supply you with professional teaching, gained from industry experts, and brought to you for a great price with a limited-time discount.

Cambridge Open Academy has been proud to produce an extensive range of best-selling courses, and Learn AI with Python is one of our best offerings. It is crafted specially to promote easy learning at any location with an online device. Each topic has been separated into digestible portions that can be memorised and understood in the minimum of time. 

Teaching and training are more than just a job for the staff at Cambridge Open Academy; we take pride in employing those who share our vision for e-learning and its importance in today’s society. To prove this, all learning materials for each course are available for at least one year after the initial purchase.  

All of our tutors and IT help desk personnel are available to answer any questions regarding your training or any technical difficulties. 

By completing Learn AI with Python, you will have automatically earnt an e-certificate that is industry-recognised and will be a great addition to your competencies on your CV.

Whatever your reason for studying Learn AI with Python, make the most of this opportunity from Cambridge Open Academy and excel in your chosen field.

Please be aware that there are no hidden fees, no sudden exam charges, and no other kind of unexpected payments. All costs will be made very clear before you even attempt to sign up.

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 Learn AI with Python 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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I have studied a few courses and have…

I have studied a few courses and have found the whole experience quick and efficient, and believe the courses will help contribute to my job in the Healthcare. Fabulous!

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A clear and concise course

This self-paced course delivers clear, high-quality content on political science fundamentals, ideal for beginners. It builds confidence in key topics like political theory, institutions, the British constitution and Parliament, US government, elections, and doctrines (liberalism, anarchism, conservatism, nationalism). The flexible format fits busy schedules. Highly recommended for aspiring international relations professionals seeking internships or jobs—it broadens knowledge and strengthens foundational skills.