Introduction to Machine Learning with Python
Book Details
| Author | Andreas C. Mueller and Sarah Guido |
|---|---|
| Publisher | O'Reilly |
| Published Year | 2016 |
| Pages | 340 |
| Language | English |
| ISBN-10 | 9352134575 |
| ISBN-13 | 978-9352134571 |
Introduction to Machine Learning with Python offers a practical and beginner-friendly guide to building machine learning models using Python and the powerful scikit-learn library. Authored by experts in the field, this book walks readers through essential ML concepts such as classification, regression, model evaluation, and pipelines, with hands-on examples and real-world datasets. Ideal for developers and data enthusiasts looking to start their journey in machine learning without requiring deep mathematical knowledge.
Add to Bookmark
Recommended Books For You
Prepare for Interview
- JavaScript Interview Questions for 5+ Years Experience
- JavaScript Interview Questions for 2–5 Years Experience
- JavaScript Interview Questions for 1–2 Years Experience
- JavaScript Interview Questions for 0–1 Year Experience
- JavaScript Interview Questions For Fresher
- SQL Interview Questions for 5+ Years Experience
- SQL Interview Questions for 2–5 Years Experience
- SQL Interview Questions for 1–2 Years Experience
- SQL Interview Questions for 0–1 Year Experience
- SQL Interview Questions for Freshers
- Design Patterns in Python
- Dynamic Programming and Recursion in Python
- Trees and Graphs in Python
- Linked Lists, Stacks, and Queues in Python
- Sorting and Searching in Python
- Debugging in Python
- Unit Testing in Python
- Asynchronous Programming in PYthon
Tutorials
Follow us on Linkedin
Random Blogs
- AI & Space Exploration – AI’s Role in Deep Space Missions and Planetary Research
- Mastering Python in 2025: A Complete Roadmap for Beginners
- Python Challenging Programming Exercises Part 3
- Quantum AI – The Future of AI Powered by Quantum Computing
- Downlaod Youtube Video in Any Format Using Python Pytube Library
- OLTP vs. OLAP Databases: Advanced Insights and Query Optimization Techniques
- Extract RGB Color From a Image Using CV2
- Datasets for Natural Language Processing
- Exploratory Data Analysis On Iris Dataset
- Python Challenging Programming Exercises Part 1
- Top 10 Blogs of Digital Marketing you Must Follow
- Understanding SQL vs MySQL vs PostgreSQL vs MS SQL vs Oracle and Other Popular Databases
- Why to learn Digital Marketing?
- Government Datasets from 50 Countries for Machine Learning Training
- Understanding OLTP vs OLAP Databases: How SQL Handles Query Optimization
- Role of Digital Marketing Services to Uplift Online business of Company and Beat Its Competitors
Datasets for Machine Learning
- Awesome-ChatGPT-Prompts
- Amazon Product Reviews Dataset
- Ozone Level Detection Dataset
- Bank Transaction Fraud Detection
- YouTube Trending Video Dataset (updated daily)
- Covid-19 Case Surveillance Public Use Dataset
- US Election 2020
- Forest Fires Dataset
- Mobile Robots Dataset
- Safety Helmet Detection
- All Space Missions from 1957
- OSIC Pulmonary Fibrosis Progression Dataset
- Wine Quality Dataset
- Google Audio Dataset
- Iris flower dataset