Deep Learning Prerequisites Linear Regression in Python

Deep Learning Prerequisites Linear Regression in Python

Deep Learning Prerequisites Linear Regression in Python. Data science: Learn linear regression from scratch and build your own working program in Python for data analysis.

This course teaches you about one popular technique used in machine learning, data science and statistics: linear regression. We cover the theory from the ground up: derivation of the solution, and applications to real-world problems. We show you how one might code their own linear regression module in Python.

Linear regression is the simplest machine learning model you can learn, yet there is so much depth that you’ll be returning to it for years to come. That’s why it’s a great introductory course if you’re interested in taking your first steps in the fields of:

  • deep learning
  • machine learning
  • data science
  • statistics

Deep Learning Prerequisites Linear Regression in Python Description


  • How to take a derivative using calculus
  • Basic Python programming
  • For the advanced section of the course, you will need to know probability

Data Science Natural Language Processing (NLP) in Python

What you’ll learn

  • Derive and solve a linear regression model, and apply it appropriately to data science problems
  • Program your own version of a linear regression model in Python

Who this course is for:

  • People who are interested in data science, machine learning, statistics and artificial intelligence
  • People new to data science who would like an easy introduction to the topic
  • People who wish to advance their career by getting into one of technology’s trending fields, data science
  • Self-taught programmers who want to improve their computer science theoretical skills
  • Analytics experts who want to learn the theoretical basis behind one of statistics’ most-used algorithms

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