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Machine Learning - Fundamental of Python Machine Learning
Rating: 4.4 out of 5(725 ratings)
56,545 students

Machine Learning - Fundamental of Python Machine Learning

Learn The Most Effective Machine Learning Techniques in Python
Created bySara Academy
Last updated 11/2023
English

What you'll learn

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

Course content

1 section22 lectures3h 19m total length
  • Mean, Median and Mode7:47
  • Standard Deviation5:20
  • Percentiles8:54
  • Data Distribution8:56
  • Normal Data Distribution6:21
  • Scatter Plot7:57
  • Linear Regression14:01
  • Polynomial Regression12:59
  • Multiple Regression8:27
  • Scale10:50
  • Train or Test data9:43
  • Decision Tree9:56
  • Confusion Matrix7:53
  • Hierarchical Clustering8:06
  • Logistic Regression11:38
  • Grid Search7:30
  • Categorical Data9:49
  • K-Means13:14
  • Bootstrap Aggregation6:59
  • Cross Validation6:18
  • AUC-ROC Curve11:17
  • K-nearest neighbors5:50

Requirements

  • No prior knowledge of Python Machine Learning is required

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