Machine Learning Essentials

This course is part of AI and Machine Learning Essentials with Python Specialization

Instructors: Chris Callison-Burch +1 more

What you'll learn

  •   Review probability basics and understand essential theoretical framework to analyze statistical learning problems.
  •   Use linear regression and Python programming to solve machine learning problems.

    • Skills you'll gain

  •   Regression Analysis
  •   Classification And Regression Tree (CART)
  •   Statistical Inference
  •   Applied Machine Learning
  •   Machine Learning
  •   Python Programming
  •   Predictive Modeling
  •   Statistical Machine Learning
  •   Supervised Learning
  •   Statistical Analysis
  •   Probability & Statistics

    • There are 4 modules in this course

    Use statistical learning techniques like linear regression and classification to solve common machine learning problems. Complete short coding assignments in Python.

    Week 2: Linear Regression

    Week 3: Extended Linear Regression

    Week 4: Classification

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