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Start With Data - A Practical Foundations Course
Introduction to AI and ML
How Top Companies Drive Success with Data Science (8:24)
Introduction to Data Science (12:22)
Introduction to Artificial Intelligence (9:55)
Examples of AI Applications (9:41)
Learn Data Science Without Any Background
Understanding Statistics
Understanding data (12:31)
Measure of Central tendency (12:12)
Measure of Variability and use of metric (14:42)
Data Visualization
Introduction to Data Visualization (6:36)
Important Visualization plots and graphs (16:59)
Fundamentals of Machine Learning
General Discussion on Machine Learning (12:10)
Machine Learning Models (19:16)
Understanding the Machine Learning process (4:41)
Applications of Machine Learning (9:40)
Preprocessing of dataset (22:01)
ML ALGORITHMS
Regression Algorithms Introduction (20:22)
Python example of Simple Linear Regression (16:13)
Understanding Regression Algorithm Evaluation (12:49)
Classification Algorithm (13:39)
Classification Algorithm Evaluation (15:04)
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Contents
Measure of Variability and use of metric
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