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Columbus, United States · Study online with LSBA

Machine Learning

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Overview

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Learning outcomes

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Course content

1

Introduction To Machine Learning

2

Supervised Learning

3

Unsupervised Learning

4

Deep Learning

5

Neural Networks

Career Path

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Key facts

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Why this course

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People also ask

Everything you need to know before you start

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60 sec
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Course access
Self-paced
Learn on your time
Certificate
Included in fee

We offer immediate access to our course materials through our open enrollment system. This means:

  • The course starts as soon as you pay the course fee, instantly
  • No waiting periods or fixed start dates
  • Instant access to all course materials upon payment
  • Flexibility to begin at your convenience

This self-paced approach allows you to begin your professional development journey immediately, fitting your learning around your existing commitments.

We offer two flexible learning paths to suit your schedule:

  • Fast Track: Complete in 1 month with 3-4 hours of study per week
  • Standard Mode: Complete in 2 months with 2-3 hours of study per week

You can progress at your own pace and access the materials 24/7.

There are no formal entry requirements for this course. You just need:

  • A good command of English language
  • Access to a computer/laptop with internet
  • Basic computer skills
  • Dedication to complete the course
Ready when you are
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Self-paced · Certificate included · 24/7 access · 60-second start.
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Assessment is done through:

  • Multiple-choice questions at the end of each unit
  • You need to score at least 60% to pass each unit
  • You can retake quizzes if needed
  • All assessments are online

Upon successful completion, you will receive:

  • A digital certificate from London School of Business and Administration
  • Option to request a physical certificate
  • Transcript of completed units
  • Certification is included in the course fee
Open enrolment · Start today

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Why people choose us for their career

Trusted by professionals worldwide

Verified outcomes from learners who finished the course and put it to work.

4.8
Based on 4 learner reviews · 4 countries
98%
Would recommend
100%
Verified learners
2026
Cohort active
Completed from United Kingdom
ST
Sarah Thompson
GB · Course completed

I loved the casual vibe of the Machine Learning course – it felt like a friendly workshop rather than a stiff lecture. The content helped me finally understand decision trees and how to tune hyper‑parameters, which I used to improve the predictive accuracy of a sales forecast model at work. The course materials, especially the interactive notebooks, were spot‑on and easy to follow. All in all, a solid learning experience that got me where I needed to be.

MC
Michael Carter
US · Course completed

The Machine Learning course at Stanmore School of Business exceeded my expectations. The curriculum was tightly aligned with my goal of transitioning into data science, and the hands‑on labs on Python, scikit‑learn, and TensorFlow gave me the confidence to build a logistic regression model that reduced churn by 12% at my company. The lecture videos were clear and the supplemental PDFs were up‑to‑date with industry best practices. Overall, the learning experience was professional and highly relevant, and I feel fully equipped to tackle real‑world ML projects.

AP
Ananya Patel
IN · Course completed

Wow! This Machine Learning course was exactly what I needed to boost my career. The instructors broke down complex concepts like neural networks into bite‑size pieces, and the practical assignments let me build a CNN that classifies images with 94% accuracy – something I can now showcase in my portfolio. The quality of the video lectures and the real‑world case studies on e‑commerce data were superb. I’m thrilled with the knowledge I gained and highly recommend it to anyone eager to dive deep into ML.

ZD
Zanele Dlamini
ZA · Course completed

The Machine Learning course offered a detailed and thorough exploration of algorithms that I could directly apply to my role as a business analyst. I appreciated the in‑depth modules on clustering, which enabled me to segment our customer base using k‑means and uncover actionable insights for targeted marketing. The course materials, including the annotated code examples and up‑to‑date research articles, were of high quality and very relevant to emerging market challenges. My overall learning experience was very positive, and I now feel confident implementing ML solutions in my projects.





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Taught in English

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Recently updated!

May 2026