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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.

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

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

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 Intermediate level.
It assumes you already have the basics of the subject and want to go deeper, rather than starting from zero.
Time commitment: 10.5 hours.
It is self-paced, so that figure is the material, not a fixed schedule.

What this course covers

9 modules

The 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

3.6
★★★★☆
14 ratings

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 →

How this page is put together

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.

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★ ₹449 10.5 hours Most popular — 191 learners
Machine Learning Coursera 4.9★ Check price 2 months Highest rated (4.9★ from 39.5K reviews) View ↗
Machine Learning with Python Coursera 4.7★ Check price 20h 26m For learners past the basics · 20h 26m View ↗
Machine Learning: Classification Coursera 4.7★ Check price 21h 25m All Levels · 21h 25m · certificate View ↗
See all Machine Learning courses →

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.

Data Scientist

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.

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