Coursera

{
  "cost": "Free to enroll",
  "link": "https://www.coursera.org/learn/machine-learning",
  "type": "Course",
  "level": "Beginner",
  "price": null,
  "title": "Supervised Machine Learning: Regression and Classification",
  "rating": 4.89,
  "skills": [
    "Model Evaluation",
    "Supervised Learning",
    "Machine Learning"
  ],
  "currency": null,
  "duration": "3 weeks at 10 hours a week",
  "languages": [
    "English",
    "German",
    "Hindi"
  ],
  "providers": [
    "DeepLearning.AI",
    "Stanford Online"
  ],
  "instructors": [
    "Andrew Ng",
    "Aarti Bagul",
    "Geoff Ladwig"
  ],
  "number_enrolled": 1253410,
  "number_of_reviews": 32925,
  "modules_or_courses": [
    {
      "title": "Week 1: Introduction to Machine Learning",
      "short_description": "Welcome to the Machine Learning Specialization!  You're joining millions of others who have taken either this or the original course, which led to the founding of Coursera, and has helped millions of …"
    },
    {
      "title": "Week 2: Regression with multiple input variables",
      "short_description": "This week, you'll extend linear regression to handle multiple input features.  You'll also learn some methods for improving your model's training and performance, such as vectorization, feature scalin…"
    },
    {
      "title": "Week 3: Classification",
      "short_description": "This week, you'll learn the other type of supervised learning, classification.  You'll learn how to predict categories using the logistic regression model.  You'll learn about the problem of overfitti…"
    }
  ],
  "certificate_offered": true
}