Fundamental of Data Analysis and Machine Learning
Fundamentals of Data Analysis and Machine Learning – Course Description
Build a strong foundation in data science, artificial intelligence, and machine learning with this beginner-friendly course. You will explore the core concepts of data science, its evolution, industry applications, and the differences between data science, big data, and business analytics. The course also introduces the fundamentals of AI, machine learning algorithms, data science workflows, career roles, and the essential tools used by data professionals. By the end of the course, you will have a solid understanding of the data science ecosystem and be well-prepared to pursue advanced studies in data analysis, machine learning, and AI.
Chapter One: Introduction to Data Science
Chapter Two: Introduction to Artificial Intelligence
Chapter Three: Introduction to Machine Learning
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13
Lesson 1- What Is Machine Learning -
14
Lesson 2 - Types Of Machine Learning Part 1
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15
Lesson 3 - Types Of Machine Learning part 2
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16
Lesson 4 - Supervised Machine Learning Algorithms Part 1
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17
Lesson 5- Supervised Machine Learning Algorithm Part 2
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18
Lesson 6- Unsupervised machine Learning Part 1
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19
Lesson 7- Unsupervised Learning Part 2
Chapter Four: Applications of Data Science
Chapter Five: Data Science Tools
Buuga Koorsada
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