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Machine Learning with Python

Machine Learning with Python

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11 STUDENTS

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.

Please Note: Thames College is a One Education approved resale partner for Quality Licence Scheme Endorsed courses.

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 Thames College

After successfully completing the assessment of this course, you will qualify for the CPD Certificate from Thames College 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. Thames College 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