The Complete Intro to Machine Learning [Free Course]

Free Certification Course Title: The Complete Intro to Machine Learning

Hands-on ML with Python, Pandas, Regression, Decision Trees, Neural Networks, and more!

The Complete Intro to Machine Learning

What you’ll learn:

  • Learn the basics of data visualization and pre-processing (Python basics, Numpy, Pandas, Seaborn)
  • Gain theoretical and practical experience with fundamental machine learning algorithms (Linear and Logistic Regression, K-NN, Decision Trees, Neural Networks)
  • Understand advanced ML topics (encoding, ensemble learning techniques, etc.)
  • Submit to your first Kaggle Machine Learning Competition

Requirements:

  • No programming or theoretical math prerequisites. We’ll teach you everything you need to know.

Who this course is for:

  • Anyone interested in machine learning, data science, and artificial intelligence. No experience required.

Description:

Here are some of the Python libraries you’ll be using:

  • Numpy (linear algebra)
  • Pandas (data manipulation)
  • Seaborn (data visualization)
  • Scikit-learn (optimized machine learning models)
  • Keras (neural networks)
  • XGBoost (gradient-boosted decision trees)

Here are the most important ML models you’ll use:

  • Linear Regression
  • Logistic Regression
  • Random Forrest Decision Trees
  • Gradient-Boosted Decision Trees
  • Neural Networks

This course includes:

  • 5 hours on-demand video
  • 8 downloadable resources
  • Full lifetime access
  • Access on mobile and TV