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- Overview
Educational accomplishments and income are closely correlated. Education and skill with endorsed certificates from credible and renowned authorities typically lead to better jobs with attractive salaries. Educated and skilled workers also have lower rates of unemployment. Therefore, skills and endorsed certificates to showcase are essential for people early in their careers.
- Why Choose Imperial Academy?
Imperial Academy offers this premium Learn AI with Python course to ensure security in your career. In addition, this comprehensive Learn AI with Python course will assist you in building relevant skills that will help you find a job in the related sectors. Also, the Certificate you’ll get after completing the Learn AI with Python will put your head and shoulder above others in front of potential employers.
Become the person who would attract the results you seek. What you plant now, you will harvest later. So, grab this opportunity and start learning Learn AI with Python!
- What Imperial Academy Offers You
- QLS/ CPD/ CIQ Accredited
- 24/7 Assistance from our Support Team
- 100% Online
- Self-paced course
- Bite-sized Audio-visual Modules
- Rich Learning Materials
- Developed by Industry Specialists
- Career Guidance
- Course Design
Learn at your own pace from the comfort of your home, as the rich learning materials of this premium course is accessible from any place at any time. The advanced course curriculums are divided into tiny bite-sized audio-visual modules by industry specialists with years of experience behind them.
- Audio-visual Lessons
- Online Study Materials
Course Curriculum
| Section 01: Introduction | |||
| Introduction to Predictive Analysis | 00:07:00 | ||
| 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 | ||
Certificate of Achievement
Learners will get an certificate of achievement directly at their doorstep after successfully completing the course!
It should also be noted that international students must pay £10 for shipping cost.
CPD Accredited Certification
Upon successfully completing the course, you will be qualified for CPD Accredited Certificate. Certification is available –
- PDF Certificate £7.99
- Hard Copy Certificate £14.99
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