Machine Learning - Fundamental of Python Machine Learning

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Sara Academy

2:32:56

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1. AUC-ROC Curve.mp4

11:17

2. Bootstrap Aggregation.mp4

06:59

3. Categorical Data.mp4

09:49

4. Confusion Matrix.mp4

07:53

5. Cross Validation.mp4

06:18

6. Data Distribution.mp4

08:56

7. Decision Tree.mp4

09:56

8. Grid Search.mp4

07:30

9. Hierarchical Clustering.mp4

08:06

10. K-Means.mp4

13:14

11. K-nearest neighbors.mp4

05:50

12. Linear Regression.mp4

14:01

13. Logistic Regression.mp4

11:38

14. Mean, Median and Mode.mp4

07:47

15. Multiple Regression.mp4

08:27

16. Normal Data Distribution.mp4

06:21

17. Percentiles.mp4

08:54

Description

Learn The Most Effective Machine Learning Techniques in Python

What You'll Learn?

The Machine Learning Process
Standard Deviation
Linear Regression
Polynomial Regression
Multiple Regression
Hierarchical Clustering
Logistic Regression
Bootstrap Aggregation
Cross Validation

Who is this for?

Anyone interested in Machine Learning

Beginners Who want to Learn Machine Learning

What You Need to Know?

No prior knowledge of Python Machine Learning is required

More details

Description
Are you ready to learn on a journey into the captivating world of machine learning using Python? Welcome to "Machine Learning - Fundamentals of Python Machine Learning," your gateway to understanding and applying the core principles of machine learning.

Machine learning is transforming industries, from healthcare to finance, and Python is at the forefront of this revolution. Whether you're a budding data scientist, aspiring machine learning engineer, or simply curious about the potential of AI, this course will equip you with the foundational knowledge and practical skills to harness the power of Python for machine learning.

Key Learning Objectives:

Introduction to Machine Learning: Get a comprehensive overview of machine learning, its significance, and the Python ecosystem's role in the field.

Python for Machine Learning: Learn the basics of Python programming, data structures, and libraries essential for machine learning.

Model Evaluation and Selection: Discover techniques for evaluating machine learning models and selecting the best model for your tasks.

Feature Engineering: Master the art of feature selection and engineering to enhance the performance of your machine learning models.

Why Choose This Course?

Comprehensive Curriculum: This course is designed to take you from a machine learning novice to a proficient practitioner, ensuring you have a deep understanding of the fundamentals.

Hands On Learning: Practice your skills with coding exercises, hands-on projects, and machine learning challenges that replicate real-world scenarios.

Expert Instruction: Benefit from the guidance of experienced instructors who have worked on machine learning projects and are passionate about sharing their knowledge.

Lifetime Access: Enroll once and have lifetime access to the course materials, ensuring your skills stay up to date with the latest developments in machine learning.

Unlock the potential of Python in the world of machine learning. Enroll today in "Machine Learning - Fundamentals of Python Machine Learning" and acquire the knowledge and skills you need to excel in the exciting field of machine learning. Don't miss this opportunity to become a proficient machine learning practitioner.

Your journey to mastering machine learning with Python starts now!

Who this course is for:
Anyone interested in Machine Learning
Beginners Who want to Learn Machine Learning

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