Machine Learning for Absolute Beginners – Level 3

Requirements
Python Basic Syntax
Highly skilled working with the Pandas Library – Loading Datasets and Manipulating Data in a Data Frame.
It is recommended to start with the Level 1 and Level 2 of the “Machine Learning for Absolute Beginners” training program

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 a continuous step by step learning path.

Level 3 – Data Visualization with Matplotlib and Seaborn

The third course, as part of the training program, aims to help you to perform Exploratory Data Analysis (EDA) by visualizing a dataset using a variety of charts. You will learn the fundamentals of data visualization in Python using the well-known Matplotlib and Seaborn data science libraries, including:

Matplotlib fundamentals

Seaborn fundamentals

Selecting the right chart for the right job

Bar, Grouped Bar, Stacked Bar, Lollipop charts

Pie, Three-map charts

Line, Area, Stacked Area charts

Histogram, Density, Box-and-Whisker, Swarm charts

Scatter, Correlogram, Heatmap, Hexbin charts

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
AI/ML Consultants

 

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