Hands-on Machine Learning with Scikit-learn and TensorFlow 2
Hands-on Machine Learning with Scikit-learn and TensorFlow 2 is an intermediate-level online course from Udemy in Machine Learning. It is structured in 9 modules with 7 stated learning outcomes, over 10.5 hours. It costs ₹449, certificate included. 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. See all Machine Learning courses on Udemy.
Course highlights
| Provider | Udemy |
| Duration | 10.5 hours |
| Level | Intermediate |
| Mode | Self-paced |
| Language | English |
| Certificate | Yes — shareable certificate |
| Instructor | Packt Publishing |
| Rating | 3.6★ (14 reviews) |
| Learners | 191 |
| Price | ₹449 ₹2,059 |
What you’ll learn
Level and time commitment
What this course covers
9 modulesThe 9-part outline Udemy publishes for this course, across 10.5 hours.
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
Rated 3.6/5 by 14 learners on Udemy (checked 5 Oct 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 →
Compiled by the CoursesGlobal 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 5 October 2026.
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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 |
|
3.6★ | ₹449 | 10.5 hours | Most popular — 191 learners | |
| Machine Learning |
|
4.9★ | Check price | 2 months | Highest rated (4.9★ from 39.5K reviews) | View ↗ |
| Machine Learning with Python |
|
4.7★ | Check price | 20h 26m | For learners past the basics · 20h 26m | View ↗ |
| Machine Learning: Classification |
|
4.7★ | Check price | 21h 25m | All Levels · 21h 25m · certificate | View ↗ |
Where Machine Learning leads
Roles we map to Machine Learning on CoursesGlobal. This is our own mapping of subject to job, not a placement claim by Udemy.
Browse every course we track for one of these — courses for data scientists.
Common questions
How much does Hands-on Machine Learning with Scikit-learn and TensorFlow 2 cost?
It is listed at ₹449 on Udemy, last checked 5 October 2026. Course prices change and providers run discounts, so treat this as the list price and confirm on the provider page.
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.
How long does Hands-on Machine Learning with Scikit-learn and TensorFlow 2 take?
Udemy lists it at 10.5 hours. It is self-paced, so that is the volume of material rather than a deadline — how long it actually takes depends on the hours you put in each week.
Is Hands-on Machine Learning with Scikit-learn and TensorFlow 2 suitable for beginners?
Udemy lists it at Intermediate level, so it assumes some grounding in the subject already. If you are starting from zero, a beginner-level course in the same topic is the better entry point.
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.
Who teaches Hands-on Machine Learning with Scikit-learn and TensorFlow 2?
Packt Publishing, as listed by Udemy.