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Hands-on Machine Learning with Scikit-learn and TensorFlow 2

Name: Hands-on Machine Learning with Scikit-learn and TensorFlow 2
Availability: InStock

Hands-on Machine Learning with Scikit-learn and TensorFlow 2 is a beginner-level online course from Udemy in Machine Learning. It is structured in 9 modules with 7 stated learning outcomes. It is free to enrol, and a certificate is available on completion. Learners rate it 3.6/5 from 14 ratings on Udemy, with 191 enrolled.

Part of our Machine Learning courses collection, where we compare it against 20 other courses.

★★★★☆3.6(14 reviews) 191 learners English

Course highlights

Provider	Udemy
Level	Beginner
Mode	Self-paced
Language	English
Certificate	Yes — shareable certificate
Rating	3.6★ (14 reviews)
Learners	191
Price	Free Free

What you’ll learn

Fundamentals of machine learning (and introducing the benefits of scikit-learn)

Practical implementation with comprehensive examples of canonical machine learning, and supervised and unsupervised machine learning in scikit-learn

How to identify a problem, select the right model, and optimize it to get the best desired outcome: insights into data

TensorFlow 2.0 for deep learning with neural networks

Deep learning and image-classification examples, and time series predictive model examples

Reinforcement learning, and how to implement various types with examples

Effectively use scikit-learn and TensorFlow in your production system, including framing a task in each task example

Level and time commitment

Udemy lists this course at Beginner level.

No prior experience in the subject is assumed — this is where the provider expects a newcomer to start.

Skills you’ll gain

Thing

What this course covers

9 modules

The 9-part outline Udemy publishes for this course.

Module 1 · Installing Scikit-Learn and TensorFlow 2.0

Module 2 · ML Fundamentals: Scikit-Learn Introduction

Module 3 · Applied Scikit-Learn: Supervised Learning Models

Module 4 · Unsupervised Learning

Module 5 · TensorFlow 2.0 Essentials for ML

Module 6 · Applied Deep Learning for Computer Vision Tasks

Module 7 · Natural Language Processing and Sequential Data

Module 8 · Applied Sequence to Sequence and Transformer Models

Module 9 · Working with Reinforcement Learning

What learners rate it

3.6

★★★★☆

14 ratings

Rated 3.6/5 by 14 learners on Udemy (checked 25 Aug 2026).

This rating is collected by Udemy from its own enrolled learners. We reproduce it as reported and do not accept paid or incentivised reviews. See it on Udemy →

How this page is put together

Compiled by the 10courses editorial desk. Fees, ratings, duration and certificate details for the 1 course shown are read directly from Udemy course pages — we never estimate a price or a rating. Last verified 25 August 2026.

How we compare and rank courses · Our review policy · Affiliate disclosure

Compare with alternatives

Same topic, different trade-offs — here's who runs each one and what it's best at.

Course	Provider	Rating	Price	Duration	Why pick this one
Hands-on Machine Learning with Scikit-learn and TensorFlow 2 This	Udemy	3.6★	Free		Free — and still gives a certificate
Machine Learning	Coursera	4.9★	Check price	2 months	Highest rated (4.9★ from 39.2K reviews)
Machine Learning with Python	Coursera	4.7★	Check price	20h 26m	Quickest to finish (20h 26m)
Machine Learning: Classification	Coursera	4.7★	Check price	21h 25m	Beginner-friendly · 21h 25m

See all Machine Learning courses →

Where Machine Learning leads

Roles we map to Machine Learning on 10courses. This is our own mapping of subject to job, not a placement claim by Udemy.

Data Scientist

Browse every course we track for one of these — courses for data scientists.

Common questions

Is Hands-on Machine Learning with Scikit-learn and TensorFlow 2 free?

Yes. Udemy lists it as free to enrol. A certificate is available on completion — providers often charge separately for the certificate even when the course itself is free, so check the fee on the provider page before you count on it.

Does Hands-on Machine Learning with Scikit-learn and TensorFlow 2 come with a certificate?

Yes — Udemy lists a certificate on completion. It is a course certificate, not a formal qualification or university credit.

Is Hands-on Machine Learning with Scikit-learn and TensorFlow 2 suitable for beginners?

Yes. Udemy lists it at Beginner level, so no prior experience in the subject is assumed.

What does Hands-on Machine Learning with Scikit-learn and TensorFlow 2 cover?

It is organised into 9 modules, starting with Installing Scikit-Learn and TensorFlow 2.0 and going on to ML Fundamentals: Scikit-Learn Introduction, Applied Scikit-Learn: Supervised Learning Models, Unsupervised Learning, TensorFlow 2.0 Essentials for ML, among others. The full outline is on this page.