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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.
  • Have a solid foundation to explore deep learning, NLP, and advanced AI.

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.

Course Video


Curriculum


  Welcome
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  Python - Data Types, Variables and Conditions
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  Python - Functions
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  Python - Arrays and Loops
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  Python - Dictionaries
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  Python - Lambdas and Array Helpers
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  Python - Classes
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  Python - Exceptions
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  Python - Files
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  Python - Understanding Test Driven Development
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  Python - Getting Started with Writing Tests
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  Python - Databases
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  Python - Working with APIs
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  Machine Learning - Welcome
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  Machine Learning - Linear Regression
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  Machine Learning - Logistic Regression
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  Machine Learning - Trees
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  Machine Learning - Clustering
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  Machine Learning - PCA
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  Building a Website for House Prices Using Flask Project
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Mohammad Azam

Mohammad Azam is a highly experienced and accomplished developer with over a decade of professional experience in writing software. He has played an integral role in the success of several Fortune 500 companies including Valic, AIG, Dell, Baker Hughes, and Blinds.com, where he served as a lead mobile developer.

Azam's expertise has helped him become a top instructor with more than 100K students enrolled in his courses. He currently serves as a lead instructor at DigitalCrafts, a software bootcamp where he trains developers who now work at prestigious companies like Apple, JP Morgan Chase, and Exxon.

Azam is not only a developer and instructor but also an international speaker who has been sharing his knowledge and expertise since 2006. In his free time, he enjoys exercising and planning his next adventure to explore the unknown corners of the world.

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