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Machine Learning Algorithms in 7 Days

7 short lessons and a daily exercise to get started with machine learning algorithms, faster than with other courses!

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Created by Shovon Sengupta

Jump right into the world of machine learning by working hands-on with seven essential algorithms. In just a week, you'll discover practical ways to cluster, classify, and predict data using Python. Gain the confidence to choose and implement the right algorithm for your data science projects.

Packt | Mar 2019 | 340 min

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LevelExpert
CategoriesData Science, Deep Learning Architectures and Frameworks

What You Will Learn

You'll progress by tackling one algorithm each day, combining clear explanations with hands-on coding exercises. By working through real examples, you'll see how each technique applies to actual data challenges. This practical approach helps you quickly understand, implement, and compare different algorithms.

Key Features

  • Learn to select the best algorithm for clustering, classification, or regression tasks
  • Build practical machine learning solutions using real-world data and Python
  • Confidently apply seven key algorithms to solve business and data problems

Target Audience

Perfect for aspiring data scientists, developers, or analysts who are comfortable with Python and basic statistics. If you've used a few algorithms and want to expand your toolkit, you'll find actionable skills here. By the end, you'll be ready to build and deploy machine learning models with greater confidence.

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