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Machine Learning with Python
Machine Learning with Python
£29 ex Vat
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Level 3
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5 days, 15 hours
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Overview
Master machine learning algorithms with python by taking the advanced Machine Learning with Python course.
The exclusive Machine Learning with Python course is crafted with effective resources and interactive sessions to get you a solid understanding of implementing ML models in python. Our expert educators will thoroughly train you on importing a dataset in python, resolving missing values, managing category variables, simple linear regression and many more.
By completing the course, you’ll gain confidence in implementing python promptly like an expert.
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
Certificate of Achievement
Endorsed Certificate of Achievement from the Quality Licence Scheme
After successfully completing the course, learners will be able to order an endorsed certificate as proof of their new achievement. Endorsed certificates can be ordered and get delivered to your home by post for only £79. There is an additional £10 postage charge for international students.
CPD Certification from One Education
After successfully completing the assessment of this course, you will qualify for the CPD Certificate from One Education as proof of your continued skill development. Certification is available in PDF format, at the cost of £9, or a hard copy can be sent to you via post, at the cost of £15.
Endorsement
This course has been endorsed by the Quality Licence Scheme for its high-quality, non-regulated provision and training programmes. This course is not regulated by Ofqual and is not an acknowledged training. One Education will be able to advise you on any further recognition, for example, progression routes into further and/or higher education. For further information, please visit the Learner FAQs on the Quality Licence Scheme website.
Method of Assessment
To assess your learning, you have to complete the assignment questions provided at the end of the course. You have to score at least 60% to pass the exam and to qualify for Quality Licence Scheme endorsed, and CPD endorsed certificates.
After submitting the assignment, our expert tutor will assess your assignment and will give you feedback on your performance.
After passing the assignment exam, you will be able to apply for a certificate.
Why study this course
Whether you’re an existing practitioner or aspiring expert, this course will enhance your expertise and boost your CV with key skills and an endorsed lesson attesting to your knowledge.
The Machine Learning with Python is open to all, with no formal entry requirements. All you need is a passion for learning, a good understanding of the English language, numeracy and IT, and to be over the age of 16.
Course Curriculum
| Module 01: Introduction to Machine Learning Algorithms | |||
| Introduction to types of ML algorithm | 00:02:00 | ||
| Module 02: Preprocessing | |||
| Importing a dataset in python | 00:02:00 | ||
| Resolving Missing Values | 00:06:00 | ||
| Managing Category Variables | 00:04:00 | ||
| Training and Testing Datasets | 00:07:00 | ||
| Normalizing Variables | 00:02:00 | ||
| Normalizing Variables – Python Code | 00:03:00 | ||
| Summary | 00:01:00 | ||
| Module 03: Regression | |||
| Simple Linear Regression – How it works? | 00:04:00 | ||
| Simple Linear Regreesion – Python Implementation | 00:07:00 | ||
| Multiple Linear Regression – How it works? | 00:01:00 | ||
| Multiple Linear Regression – Python Implementation | 00:09:00 | ||
| Decision Trees – How it works? | 00:05:00 | ||
| Random Forest – How it works? | 00:03:00 | ||
| Decision Trees and Random Forest – Python Implementation | 00:04:00 | ||
| Module 04: Classification | |||
| kNN – How it works? | 00:02:00 | ||
| kNN – Python Implementation | 00:10:00 | ||
| Decision Tree Classifier and Random Forest Classifier in Python | 00:10:00 | ||
| SVM – How it works? | 00:04:00 | ||
| SVM – Python Implementation | 00:06:00 | ||
| Resources | |||
| Resources – Machine Learning with Python | 00:00:00 | ||
| Assignment | |||
| Assignment – Machine Learning with Python | 5 days, 14 hours | ||
| Order Your Certificate | |||
| Order Your Certificate QLS | 00:00:00 | ||
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