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Keep shoppingThe Complete Machine Learning Bootcamp for Beginners 2025
46 students
The Complete Machine Learning Bootcamp for Beginners 2025
Hands-On Machine Learning with Python, Data, and AI Tools for Beginners
Created byMohammad Azam
Last updated 9/2025
English
English [Auto],
What you'll learn
- Write Python code confidently using variables, loops, functions, and classes
- Work with files, databases, and APIs to handle real-world data
- Understand and apply core machine learning algorithms (regression, trees, clustering, PCA)
- Train models on real datasets like housing, car prices, and health data
- Build and deploy a machine learning project with Flask
- Gain the foundation to move into deep learning, NLP, and advanced AI
Explore related topics
Course content
20 sections • 88 lectures • 12h 3m total length
Requirements
- No prior coding or math experience required — this course starts from the basics
- A computer (Windows, macOS, or Linux) with internet access
- Willingness to learn by coding along with the instructor
- (Optional) Familiarity with basic math concepts like addition, subtraction, multiplication, and division will help, but is not mandatory
- Curiosity about Python, AI, and how machine learning works in the real world
Description
The Machine Learning Bootcamp for Complete Beginners 2025 is the fastest way to start your journey into Python programming, data science, and machine learning—no prior experience required.
We’ll start from the very basics of Python: data types, variables, loops, functions, classes, exceptions, file handling, and test-driven development. You’ll also work with databases and APIs, which are essential for handling real-world data.
Once you’re confident with Python, we’ll dive into the heart of machine learning. Step by step, you’ll explore and apply key algorithms:
Linear Regression – predicting house and car prices
Logistic Regression – classifying health and customer data
Decision Trees & Random Forests – modeling complex decisions
KMeans Clustering – grouping unlabeled data
PCA (Principal Component Analysis) – reducing dimensions for big data
Finally, you’ll build and deploy a capstone project: a House Price Prediction web app with Flask, bringing everything you’ve learned into a practical, real-world project.
This bootcamp focuses on hands-on coding, practical datasets, and real projects so that you’re not just learning theory—you’re building skills you can use right away.
Who Is This Course For?
This course is designed for:
Absolute beginners with no prior coding experience.
Students or professionals curious about AI and machine learning.
Career changers looking to enter the data science or AI field.
Developers who want to strengthen their Python and ML foundations.
Anyone who wants to understand how machine learning powers modern apps.
What You Will Learn
By the end of this bootcamp, you will:
Write and test Python code confidently.
Work with variables, functions, loops, classes, files, and databases.
Fetch and process data from APIs.
Apply core machine learning algorithms step by step.
Train models with real datasets (housing, cars, customers, health).
Build and deploy a machine learning app using Flask.
By enrolling today, you’ll gain lifetime access to the course, including future updates, downloadable resources, and hands-on projects—everything you need to break into machine learning in 2025.
Who this course is for:
- Absolute beginners who want to learn Python and machine learning from scratch
- Students and professionals curious about data science and AI
- Career changers looking to enter the fields of data science, machine learning, or analytics
- Developers who want to strengthen their Python and ML foundations
- Anyone interested in building real machine learning projects and web apps