[100% OFF] Machine Learning for Absolute Beginners – Level 2


Machine Learning for Absolute Beginners. Unleash the Power of ML

Machine Learningis one of the most exciting fields in the hi-tech industry, gaining momentum in various applications. Companies are looking for data scientists, data engineers, and ML experts to develop products, features, and projects that will help them unleash the power of machine learning. As a result, a data scientist is one of the top ten wanted jobs worldwide!

Machine Learning for Absolute Beginners

The “Machine Learning for Absolute Beginners” training program is designed for beginners looking to understand the theoretical side of machine learning and to enter the practical side of data science. The training is divided into multiple levels, and each level is covering a group of related topics for continuous step by step learning.

Level 2 – Python and Pandas

The second course, as part of the training program, aims to help you start your practical journey. You will learn the Python fundamentals and the amazing Pandas data science library, including:

  • Python syntax for developing data science projects
  • Using JupyterLab tool for Jupiter notebooks
  • Loading large datasets from files using Pandas
  • Perform data analysis and exploration
  • Perform data cleaning and transformation as a pre-processing step before moving into machine learning algorithms.

Each section has a summary exercise as well as a complete solution to practice new knowledge.

The Game just Started!

Enroll in the training program and start your journey to become a data scientist!

Who this course is for:

  • Developers curious about data science projects
  • Beginner Data Scientists
  • AI Product Managers
  • ML Engineers


  • There are no specific prerequisites for starting this training as it is designed for absolute beginners.
  • It is recommended to start with “Machine Learning for Absolute Beginners – Level 1”

The post [100% OFF] Machine Learning for Absolute Beginners – Level 2 appeared first on Tricksinfo.

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