Machine Learning with Python

Machine Learning with Python


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


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 accredited qualification. 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.

Assessment & Certification

The assessment of this course includes a written assignment which you must prepare and submit after studying the course. Once you submit your assignment, our tutors will assess it and give you a mark. If your submitted assignment is satisfactory you will be eligible for the QLS Endorsed Certificate which you can claim easily from your dashboard.

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 – Machine Learning with Python 00:00:00
Assignment – Machine Learning with Python 5 days, 14 hours
Order Your Certificate
Order Your Certificate QLS 00:00:00

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