Machine Learning with Python

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Course Overview

You’ll have an arsenal of skills to lock down your desired career after completing this [course_title] course. Moreover, you will have access to all of the materials in this course for free for a whole year and learn a multitude of highly coveted skills to move up the corporate ladder.

With this comprehensive [course_title] course, you’ll have all of your questions answered and all of the necessary expertise under your belt. Apart from setting you up for success, this course offers numerous advantages to make your learning experience more pleasurable and less stressful. So, add this [course_title] course to the basket and take your expertise up a notch!

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

Why Choose Thames College?

Thames College offers you the benefit of —

Who Is This Course For?

Those who want to strengthen their professional skills while training for the desired job should take advantage of the [course_title] training! This course will keep you up-to-date with all the latest developments and coach you accordingly. So invest in this [course_title] course if you want the best training available.

Certificate of Achievement

Quality Licence Scheme Endorsed Certificate of Achievement

Upon successful completion of the [course_title] course, you can order an original hardcopy certificate of achievement endorsed by the Quality Licence Scheme. The certificate will be home-delivered, with a pricing scheme of —

- 129 GBP within UK

- 139 GBP for International Delivery (Postal Fees Included)

CPD Certification

After successfully completing the assessment of this [course_title] course, you can apply for the CPD accredited certificates. The PDF version is only £2.99 and the Hardcopy version will cost you £8.99.

Disclaimer

The [course_title] course has been endorsed under the Quality Licence Scheme. This means that One Education has undergone an external quality check to ensure that the organisation and the courses it offers meet defined quality criteria. The completion of this [course_title] course alone does not lead to a regulated qualification but may be used as evidence of knowledge and skills gained. The Learner Unit Summary may be used as evidence towards Recognition of Prior Learning if you wish to progress your studies in this subject. To this end the learning outcomes of the [course_title] course have been benchmarked at Level 3 against level descriptors published by Ofqual, to indicate the depth of study and level of demand/complexity involved in successful completion by the learner.

The [course_title] course itself has been designed by One Education to meet specific learners’ and/or employers’ requirements which cannot be satisfied through current regulated qualifications.

The Quality Licence Scheme endorsement involves robust and rigorous quality audits by external auditors to ensure quality is continually met. A review of courses is carried out as part of the endorsement process.

Requirements

No formal entry requirements! No prerequisites or relevant experience is required!

This course is accessible to anyone with an eagerness to learn. All you require is—

Career Path

Utilise this all-inclusive course to acquire the skills and expertise you’ll need to thrive in the workplace.

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