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Become Quality Assurance Eeer as a Complete Bner.

Published 04/2022MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 ChGenre: eLearning | Language: English + srt | Duration: 215 lectures (12h 45m) | Size: 6.6 GB

Define what Machine Learning does and its importance
Learn the different types of Descriptive Statistics
Apply and use Various Operations in Python
Explore the usage of Two Categories of Supervised Learning
Learn the difference of the Three Categories of Machine Learning
Understand the Role of Machine Learning
Explain the meaning of Probability and its importance
Define how Probability Process happen
Discuss the definition of Objectives and Data Gathering Step
Know the different concepts of Data Preparation and Data Exploratory Analysis Step
Define what is Supervised Learning
Differentiate Key Differences Between Supervised,Unsupervised,and Reinforced Learning
Explain the importance of Linear Regression
Learn the different types of Logistic Regression
Learn what is an Integrated Development Environment and its importance
Understand the factors why Developers use Integrated Development Environment
Learn the most important factors on How to Perform Addition operation and close Jupyter Notebook
Discuss Arithmetic Operation in Python
Identify the different Types of Built-in-Data Types in Python
Learn the most important considerations of Dictionaries-Built-in Data types
Explain the usage of Operations in Python and its importance
Understand the importance of Logical Operators
Define the different types of Controlled Statements
Be able to create and write a program to find maximum number
Differentiate the different types of range functions in Python
Explain what is Statistics, Probability and key concepts

No technical knowledge or experience is required to get going in this course
A basic understanding of the importance of data science will be useful

Get instant access to a 234-page Machine Learning workbook containing all the reference material
Over 12 hours of clear and concise step by step instructions, practical lessons and engagement
35 quizzes and knowledge checks at various stages to test your learning and confirm your growth
Introduce yourself to our community of students in this course and tell us your goals
Encouragement & celebration of your progress: 25%, 50%, 75% and then 100% when you get your certificate
This course will help you develop Machine Learning skills for solving real-life problems in the new digital world.