Machine Learning for Absolute Beginners - Level 3
What you'll learn
- Perform Exploratory Data Analysis (EDA) for any Dateset
- Visualise Data using a Variety of Charts Types
- Learn Matplotlib and Seaborn Fundamentals
- Creating Bar, Grouped Bar, Stacked Bar, Lollipop charts
- Creating Pie, Tree-map charts
- Creating Line, Area, Stacked Area charts
- Creating Histogram, Density, Box-and-Whisker, Swarm charts
- Creating Scatter, Correlogram, Heat-Map, Hexbin-Map charts
Course content
- Preview03:22
- 02:13Our Overall Learning Path
- 02:31How to Practice?
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
Instructor
![Idan Gabrieli](data:image/svg+xml,%3Csvg xmlns="http://www.w3.org/2000/svg" viewBox="0 0 64 64"%3E%3C/svg%3E){kind=avatar}
- 4.4 Instructor Rating
- 2,510 Reviews
- 98,080 Students
- 14 Courses
Idan Gabrieli is an experience solution engineer manager (B.Sc. and MBA) with a comprehensive technical background in a variety of technologies. Idan is working with hundreds of business companies worldwide while helping to transform business challenges, requirements, and opportunities into practical use cases.
As part of his passion for sharing years of experience and knowledge, he created multiple online courses about a variety of topics while teaching thousands of students worldwide.