Machine Learning for Absolute Beginners - Level 3

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 Buy Premium From My Links To Get Resumable Support,Max Speed & Support Me

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