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Level-3 Machine Learning with Python cover image

Level-3 Machine Learning with Python
LEARNING PATH LTD

CPD Accredited Course | Lifetime Access | Updated Curriculum | 24/7 Tutor Support | Certification Available

Summary

Price
£21 inc VAT
Study method
Online
Duration
10 hours · Self-paced
Qualification
No formal qualification
CPD
10 CPD hours / points
CPD What's this?
Certificates
  • Digital Certificate - £4.99
  • Hard copy certificate - £7.99
Assessment details
  • Assessment Fees (included in price)
Additional info
  • Tutor is available to students

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AI overview

AI generated content may contain mistakes

This comprehensive course provides an in-depth exploration of Machine Learning concepts and applications, equipping you with the skills to build successful ML models using Python.

What you'll learn
  • Fundamentals of Machine Learning
  • Python programming and data structures
  • Data processing and pre-processing for ML
  • Practical ML algorithms and model evaluation
  • Model deployment for real-time predictions
Who the course is for
  • Aspiring data scientists, Machine Learning engineers, IT professionals, developers, students, and business analysts
  • Requires basic knowledge of English and ICT
Key features
  • Suitable for learners wanting flexibility
  • Perfect for learners needing maximum flexibility around commitments
Skills & outcomes
  • Skills-based course designed to build practical Machine Learning knowledge
  • Skills covered could be beneficial for roles such as Data Analyst, Machine Learning Engineer, Business Intelligence Analyst, AI/ML Scientist, and Data Scientist
  • 10 CPD points

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Overview

Data science is a rapidly growing field that is based on discovering meaning from large sets of structured and unstructured data. This course will teach you the necessary skills and knowledge to move forward in the world of data science and machine learning. In this course, you will learn the basics of Python programming, data manipulation using NumPy, Matplotlib and pandas, and machine learning techniques and algorithms. You will learn how to visualize and present data and pre-process it for data modelling. You will increase accuracy of the model by Spot-checking popular machine learning algorithms and using ensemble techniques and parameter tuning.

Learning Outcomes:

  • Learn and understand the fundamentals of Machine Learning
  • Set up the system and environment for Machine Learning
  • Acquire proficiency in Python programming and data structures
  • Master the processing and pre-processing of data for Machine Learning
  • Use practical algorithms for Machine Learning
  • Compare Machine Learning models and run parameter tuning for performance optimisation.
  • Deploy models for real-time predictions

Certificates

Digital Certificate

Digital certificate - £4.99

Hard copy certificate

Hard copy certificate - £7.99

Assessment details

Assessment Fees

Included in course price

CPD

10 CPD hours / points
Accredited by CPD Quality Standards

Course media

Description

Data Science & Machine Learning with Python is a comprehensive course designed to give you an in-depth understanding of Machine Learning. This interactive course provides a detailed exploration of concepts and applications like classifications and algorithms, system and environment preparation, Python fundamentals, data processing for ML, feature selection, algorithm evaluation, spot checks, comparison of algorithms, parameter tuning and model deployment for predictions. Also, you will understand the importance of Machine Learning in the real world and the various techniques used in ML.

Whether you’re aspiring to be a Machine Learning engineer or just want to explore the field, this course provides you with the right fundamentals. From environment set up to testing the model with practical examples, this course brings you step-by-step through the journey of Machine Learning. By the end of the course, you’ll be able to confidently work on any Machine Learning project.

This course is ideal for anyone who wants to understand Machine Learning concepts including professionals, students, beginners, software engineers and business analysts. This course combines a mix of theoretical concepts, practical applications, and live projects.

So, if you want to gain the knowledge and skills required to build successful machine learning models, start learning now and begin your Machine Learning journey.

Who is this course for?

This course is ideal for:

  • Aspiring data scientists
  • Machine Learning engineers
  • IT professionals
  • Developers
  • Students
  • Business Analysts

Requirements

Learners seeking to enrol for the course should meet the following requirements;

  • Basic knowledge of English Language, which you have already
  • Basic Knowledge of Information & Communication Technologies for studying online or digital platform
  • Stable Internet or Data connection in your learning devices

Career path

You can explore jobs such as:

  • Data Analyst – £20,930 to £45,614
  • Machine Learning Engineer – £39,863 to £82,611
  • Business Intelligence Analyst – £23,986 to £53,978
  • AI/ML Scientist – £39,744 to £71,033
  • Data Scientist – £32,121 to £71,000
  • Data Architect – £40,005 to £95,245
  • Big Data Engineer – £40,320 to £80,325
  • Big Data Architect – £49,091 to £119,818

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Legal information

This course is advertised on Reed.co.uk by the Course Provider, whose terms and conditions apply. Purchases are made directly from the Course Provider, and as such, content and materials are supplied by the Course Provider directly. Reed is acting as agent and not reseller in relation to this course. Reed's only responsibility is to facilitate your payment for the course. It is your responsibility to review and agree to the Course Provider's terms and conditions and satisfy yourself as to the suitability of the course you intend to purchase. Reed will not have any responsibility for the content of the course and/or associated materials.

FAQs

Study method describes the format in which the course will be delivered. At Reed Courses, courses are delivered in a number of ways, including online courses, where the course content can be accessed online remotely, and classroom courses, where courses are delivered in person at a classroom venue.

CPD stands for Continuing Professional Development. If you work in certain professions or for certain companies, your employer may require you to complete a number of CPD hours or points, per year. You can find a range of CPD courses on Reed Courses, many of which can be completed online.

A regulated qualification is delivered by a learning institution which is regulated by a government body. In England, the government body which regulates courses is Ofqual. Ofqual regulated qualifications sit on the Regulated Qualifications Framework (RQF), which can help students understand how different qualifications in different fields compare to each other. The framework also helps students to understand what qualifications they need to progress towards a higher learning goal, such as a university degree or equivalent higher education award.

An endorsed course is a skills based course which has been checked over and approved by an independent awarding body. Endorsed courses are not regulated so do not result in a qualification - however, the student can usually purchase a certificate showing the awarding body's logo if they wish. Certain awarding bodies - such as Quality Licence Scheme and TQUK - have developed endorsement schemes as a way to help students select the best skills based courses for them.
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