Learn AI with Python
Learn AI with Python and build intelligent applications using real-world techniques. This course covers machine learning basics, data handling, and practical coding skills to boost your career in technology today.
Learn AI with Python
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1 Year Access 
Intermediate 
7 Students -
6 hours, 24 minutes
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Course 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, One Education can supply you with professional teaching, gained from industry experts, and brought to you for a great price with a limited-time discount.
One Education 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 One Education; 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 One Education 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.
Course design
The course is delivered through our online learning platform, accessible through any internet-connected device. There are no formal deadlines or teaching schedules, meaning you are free to study the course at your own pace.
You are taught through a combination of
- Video lessons
- Online study materials
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 One Education needs to know is that you are eager to learn and are over 16.
Course Curriculum
| Section 01: Introduction | |||
| Introduction to Predictive Analysis | 00:09:00 | ||
| Random Forest and Extremely Random Forest | 00:11:00 | ||
| Section 02: Class Imbalance and Grid Search | |||
| Dealing with Class Imbalance | 00:07:00 | ||
| Grid Search | 00:09:00 | ||
| Section 03: Adaboost Regressor | |||
| Adaboost Regressor | 00:08:00 | ||
| Predicting Traffic Using Extremely Random Forest Regressor | 00:02:00 | ||
| Traffic Prediction | 00:07:00 | ||
| Section 04: Detecting patterns with Unsupervised Learning | |||
| Detecting patterns with Unsupervised Learning | 00:05:00 | ||
| Clustering | 00:07:00 | ||
| Clustering Meanshift | 00:04:00 | ||
| Clustering Meanshift Continues | 00:06:00 | ||
| Section 05: Affinity Propagation Model | |||
| Affinity Propagation Model | 00:05:00 | ||
| Affinity Propagation Model Continues | 00:05:00 | ||
| Section 06: Clustering Quality | |||
| Clustering Quality | 00:05:00 | ||
| Program of Clustering Quality | 00:07:00 | ||
| Section 07: Gaussian Mixture Model | |||
| Gaussian Mixture Model | 00:04:00 | ||
| Program of Gaussian Mixture Model | 00:08:00 | ||
| Section 08: Classifiers | |||
| 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 | ||
| Section 09: Logic Programming | |||
| 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 | ||
| Section 10: Heuristic Search | |||
| 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 | ||
| Section 11: Natural Language Processing | |||
| 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 | ||
| Order Your Certificate | |||
| Order Your Certificate Now | 00:00:00 | ||
Learn AI with Python