Python for Machine Learning: The Complete Beginner's Course

Course Overview

• Course Title: Python for Machine Learning: The Complete Beginner's Course
• Instructor: Meta Brains
• Target Audience:
  • Beginners in machine learning
  • Python programmers interested in machine learning applications
  • Individuals aiming for data science roles
• Prerequisites:
  • Experience with the basics of Python
  • Basic mathematical skills

Curriculum Highlights

• Key Topics Covered:
  • Python programming and Scikit-learn for machine learning regression
  • Simple and multiple linear regression techniques
  • Regression problems (linear regression and logistic regression)
  • Logistic regression using sklearn
  • Mathematics behind decision trees
  • Different algorithms for clustering
• Key Skills Learned:
  • Solving regression problems
  • Implementing logistic regression
  • Understanding decision trees
  • Applying clustering algorithms
  • Real-world application of machine learning algorithms

Course Format

• Duration: 2.5 hours on-demand video
• Format: Self-paced online course
• Resources:
  • 2 articles
  • 16 downloadable resources
  • Access on mobile and TV
  • Certificate of completion