Machine Learning for Absolute Beginners - Level 3

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Machine Learning for Absolute Beginners - Level 3
Video: .mp4 (1280x720, 30 fps(r)) | Audio: aac, 44100 Hz, 2ch | Size: 825 MB
Genre: eLearning Video | Duration: 40 lectures (3 hour) | Language: English
 Learn to Master Data Visualization and perform Exploratory Data Analysis (EDA) using Python, MatDescriptionlib and Seaborn

What you'll learn

    Perform Exploratory Data Analysis (EDA) for any Dateset
    Visualise Data using a Variety of Charts Types
    Learn MatDescriptionlib 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

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 MatDescriptionlib 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 MatDescriptionlib and Seaborn data science libraries, including:

    MatDescriptionlib 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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