This intermediate learning path is for people who want to build their understanding of machine learning fundamentals and algorithms through video explanations and independent practice.
Optional preparation: Free Machine Learning Course: Learn the Fundamentals.
About this course
Learn machine learning fundamentals and algorithms with free video lessons from Simplilearn. Linear and logistic regression, K-means, decision trees, random forests and other introductory machine-learning algorithms. Study at your own pace in the WikiFree classroom.
Course at a glance
| Provider | Simplilearn |
|---|---|
| Platform | YouTube · Simplilearn |
| Access | Free Video |
| Level | Intermediate · WikiFree audience assessment |
| Language | English |
| Selected lessons | 17 |
| Video duration | 29h 46m · additional practice time is recommended |
| Format | Self-paced video learning |
| Details checked | 11 October 2026 |
What you’ll learn
- Explore linear and logistic regression, K-means, decision trees, random forests and other introductory machine-learning algorithms.
- Follow the selected explanations of Regression, Clustering and Classification.
- Connect concepts to lessons such as Lesson 05 — Machine Learning Basics – Linear & Logistic Regression.
- Practise independently: Compare two algorithms on a small dataset and explain the evaluation metric you choose.
Skills you’ll gain
- Regression
- Clustering
- Classification
Course Overview
Linear and logistic regression, K-means, decision trees, random forests and other introductory machine-learning algorithms. The classroom brings together 17 selected learning videos from Simplilearn’s public YouTube course playlist. You can follow the sequence or use the lesson search to revisit a particular subject.
The selected curriculum includes the following lesson examples:
- Lesson 01 — Machine Learning Basics – Introduction
- Lesson 05 — Machine Learning Basics – Linear & Logistic Regression
- Lesson 09 — Machine Learning Basics – Understanding Decision Tree
- Lesson 13 — Machine Learning Basics – Understanding Support Vector Machine Algorithm
- Lesson 16 — Machine Learning Basics – Interview Questions & Answers
Each course retains its relevant lessons, including videos also used in another course. Numbered series follow their original lesson or part order. Only reviewed advertisements, unrelated items and identical repeated playlist entries are excluded. Source recordings may have been made at different times.
Who is this for?
This intermediate learning path is for people who want to build their understanding of machine learning fundamentals and algorithms through video explanations and independent practice.
Basic Python and algebra are recommended before implementing the examples.
Put the lessons into practice
Compare two algorithms on a small dataset and explain the evaluation metric you choose.
This is an optional WikiFree practice suggestion, not a graded assignment supplied by Simplilearn. Pause the videos when a concept is unfamiliar, keep notes and repeat a small example before moving on.
Certificate / Assessment
The public YouTube lessons are free to watch. This listing does not include a Simplilearn certificate, an accredited qualification, a provider-marked examination or instructor feedback. Separate Simplilearn programs can have their own enrollment and certificate requirements.
Mark complete is a personal progress tracker. It does not assess your answers or verify that you have mastered the lesson.
Related courses for your next step
- Review a lower-level optionFree Machine Learning Course: Learn the Fundamentals
Focus: Classical machine learning · Python notebooks
Beginner - Review a lower-level optionSupervised Machine Learning: Regression and Classification: Free Course
Focus: Linear regression · Logistic regression
Beginner - Review a lower-level optionFree Machine Learning with R Course: Tidymodels
Focus: Explore and analyze a dataset in R · Build an understanding of regression
Beginner - Compare another approachGoogle Introduction to Clustering: Free Machine Learning Course
Focus: Unsupervised learning · Feature scaling
Intermediate
Compare course focus, level and study time
| Course | Level | Focus | Study time |
|---|---|---|---|
| This course — Free Simplilearn Course: Machine Learning Fundamentals and Algorithms | Intermediate | Regression · Clustering · Classification | 29h 46m of video; practice time is additional |
| Free Machine Learning Course: Learn the Fundamentals | Beginner | Classical machine learning · Regression · Python notebooks | 1h 9m of video; practice time is additional |
| Supervised Machine Learning: Regression and Classification: Free Course | Beginner | Linear regression · Logistic regression · Gradient descent | 5h 11m of video; practice time is additional |
| Free Machine Learning with R Course: Tidymodels | Beginner | Explore and analyze a dataset in R · Build an understanding of regression · Compare classification and clustering | 5h 34m of video; practice time is additional |
| Google Introduction to Clustering: Free Machine Learning Course | Intermediate | Unsupervised learning · Feature scaling · K-means reasoning | Google estimated course length: 110 minutes; individual study pace varies. |
Frequently asked questions
Is this Simplilearn course free?
Yes. The selected public YouTube videos can be watched for free. Any software, cloud service, hardware or separate certification mentioned in the videos has its own access conditions.
What should I know before starting?
Basic Python and algebra are recommended before implementing the examples.
How long does the course take?
The selected videos total 29h 46m. Your study time can be longer because of notes, repeated examples and independent practice.
Does watching the videos give me a certificate?
No certificate is included with this WikiFree YouTube listing. Watching videos or marking them complete does not earn a Simplilearn qualification.
Can I study on my phone?
Yes. Use the responsive video player and lesson list on a phone, tablet or computer. Programming, software and hardware exercises may be easier on an appropriate computer or device.
Are all demonstrations current?
The playlist includes recordings made at different times. Software interfaces, services and exam requirements can change; check the current official documentation when reproducing a demonstration.
Source: Simplilearn’s official YouTube course playlist.
Provider: Simplilearn. Videos play from the Simplilearn channel on YouTube.
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