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Machine Learning Guide 2023 – Train your First Algorithm.

Categories: AI and ML, Data Science
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About Course

Machine learning has emerged as a powerful tool that drives innovation and transforms industries across the globe. In this course, we will learn about the basic concepts of machine learning, where you will gain the knowledge and skills needed to train your first algorithm. Whether you are a student eager to explore the cutting-edge world of AI or a professional looking to enhance your skill set, this guided project will enable you to train your first machine-learning algorithm.

 

What Will You Learn?

  • Utilise the well-known machine learning libraries NumPy and sci-kit-learn to create machine learning models in Python.
  • Develop and train supervised machine learning models for binary classification and prediction problems, including logistic regression.

Course Content

Introduction to Machine Learning

  • What is machine learning?
    06:51
  • Applications of machine learning.
    00:00
  • Supervised learning.
    00:00
  • Unsupervised learning part I.
    00:00
  • Unsupervised learning part II.
    00:00

Working with Jupyter Notebook

Gradient Descent

Regression with multiple input variables

Classification

Course Completion Quiz

Student Ratings & Reviews

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2 years ago
Enrolling in this course was a game-changer for me.
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