Overview
This comprehensive course on Machine Learning with Python will deepen your understanding on this topic.
After successful completion of this course you can acquire the required skills in this sector. This Machine Learning with Python comes with accredited certification, which will enhance your CV and make you worthy in the job market.
So enrol in this course today to fast track your career ladder.
How will I get my certificate?
You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate.
Who is This course for?
There is no experience or previous qualifications required for enrolment on this Machine Learning with Python. It is available to all students, of all academic backgrounds.
Requirements
Our Machine Learning with Python is fully compatible with PC’s, Mac’s, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G.
There is no time limit for completing this course, it can be studied in your own time at your own pace.
Career Path
Having these various qualifications will increase the value in your CV and open you up to multiple sectors such as Business & Management, Admin, Accountancy & Finance, Secretarial & PA, Teaching & Mentoring etc.
Course Curriculum
- 5 sections
- 22 lectures
- 1 hour, 34 minutes total length
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Introduction to types of ML algorithm 00:02:00
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SVM – Python Implementation 00:06:00
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Introduction to types of ML algorithm 00:02:00
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Importing a dataset in python 00:02:00
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Resolving Missing Values 00:06:00
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Managing Category Variables 00:04:00
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Training and Testing Datasets 00:07:00
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Normalizing Variables 00:02:00
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Normalizing Variables – Python Code 00:03:00
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Summary 00:01:00
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Simple Linear Regression – How it works? 00:04:00
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Simple Linear Regreesion – Python Implementation 00:07:00
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Multiple Linear Regression – How it works? 00:01:00
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Multiple Linear Regression – Python Implementation 00:09:00
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Decision Trees – How it works? 00:05:00
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Random Forest – How it works? 00:03:00
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Decision Trees and Random Forest – Python Implementation 00:04:00
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kNN – How it works? 00:02:00
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kNN – Python Implementation 00:10:00
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Decision Tree Classifier and Random Forest Classifier in Python 00:10:00
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SVM – How it works? 00:04:00
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This course includes:
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Duration:1 hour, 34 minutes
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Access:1 year access
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Units:22
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Level:
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CPD Points:10
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Certificate:Yes
