IBM Machine Learning Course

Learning Paths: machine learning portal

level	theme	Types of
100	Introduction to Machine Learning	article
101	The first machine learning models using Python and scikit-learn to build and test your	Course
201	Python and scikit-learn learning regression algorithm	Course
202	Python and scikit-learn learning classification algorithm	Course
203	Python and scikit-learn learning clustering algorithm	Course

This learning path is familiar to all people who want fast machine learning and design. This learning path includes several step by step tutorial with hands-on demo, you will build a model and use these models in the application.

First, click on the card, or refer to the table for a complete list of covered topics.

1. Introduction to Machine Learning

   For information:

   • Machine learning is what?
   • We have more supervised learning and unsupervised learning
   • Machine Learning pipeline
   • Terms and Concepts
2. The first machine learning models using Python and scikit-learn to build and test your

   For information:

   • Perform data exploration
   • Data preprocessing performed
   • Split data for training and testing
   • Prepare a classification model
   • Trainer
   • To run a forecast model
   • Performance evaluation model and visualize
3. Python and scikit-learn learning regression algorithm

   For information:

   • Linear Regression
   • Split, training and validation
   • Over-fitting and underfitting
   • Model Assessment
   • Logistic regression
   • Naive Bayes
   • Integrated learning
4. Python and scikit-learn learning classification algorithm

   For information:

   • Clustering
   • Principal Component Analysis
   • Dimensionality reduction
5. Python and scikit-learn learning clustering algorithm

   For information:

   • K-means clustering
   • Mean shift
   • DBSCAN
   • Hierarchical clustering
   • Aggregate clustering
   • example

Resources

• Machine learning, deep learning 101
• Machine Learning Code combat: Logistic regression was used to help diagnose heart disease
• Han Xiaolin: hands-on machine learning to achieve
• The insight used in the production of machine learning

This blog translated from: Learning path: the Get Started with Machine Learning (2019-12-04).