Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

LinkedIn Learning

Machine Learning and AI Foundations: Value Estimations

via LinkedIn Learning

Overview

Prepare for a new career with $100 off Coursera Plus
Gear up for jobs in high-demand fields: data analytics, digital marketing, and more.
Discover how to solve value estimation problems with machine learning. Learn how to build a value estimation system that can estimate the value of a home.

Syllabus

Introduction
  • Welcome
  • What you should know
  • Using the exercise files
  • Set up the development environment
1. What Is Machine Learning and Value Prediction?
  • What is machine learning?
  • Supervised machine learning for value prediction
  • Build a simple home value estimator
  • Find the best weights automatically
  • Cool uses of value prediction
2. An Overview of Building a Machine Learning System
  • Introduction to NumPy, scikit-learn, and pandas
  • Think in vectors: How to work with large data sets efficiently
  • The basic workflow for training a supervised machine learning model
  • Gradient boosting: A versatile machine learning algorithm
3. Training Data
  • Explore a home value data set
  • Standard conventions for naming training data
  • Decide how much data you need
4. Features
  • Feature engineering
  • Choose the best features for home value prediction
  • Use as few features as possible: The curse of dimensionality
5. Coding Our System
  • Prepare the features
  • Training vs. testing data
  • Train the value estimator
  • Measure accuracy with mean absolute error
6. Improving Our System
  • Overfitting and underfitting
  • The brute force solution: Grid search
  • Feature selection
7. Using the Estimator in a Real-World Program
  • Predict values for new data
  • Retrain the classifier with fresh data
Conclusion
  • Wrap-up

Taught by

Adam Geitgey

Reviews

4.5 rating at LinkedIn Learning based on 166 ratings

Start your review of Machine Learning and AI Foundations: Value Estimations

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.