Machine Learning for Absolute Beginners - Level 2

What you'll learn

Python for Data Science and Machine Learning Projects
Learn to use the Pandas Data Science Library
JupyterLab Development tool
Develop Jupyter Notebooks
Loading and Analysing Tabular Datasets
Selecting, Filtering, and Cleaning Data
Grouping, Sorting, and Exporting Data


Requirements

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"

Description

Unleash the Power of ML

Machine Learning is 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