Improve the Performance of a Machine Learning Model

Knowledge of Python. If you are unfamiliar with this programming language, we highly encourage you to take the following courses: Learn Python Basics for Data Analysis and Use Python Libraries for Data Science.

Knowledge of how to build basic supervised machine learning models in Python. If you are unfamiliar with how to do so, we recommend the following course: Train a Supervised Machine Learning Model

Part 1 - Identify Common Machine Learning Problems
1. Identify the Problems of Overfitting and Underfitting
2. Identify the Problem of Multicollinearity
Quiz: Get Some Practice Identifying Common Machine Learning Problems

Part 2 - Evaluate the Performance of a Machine Learning Model
1. Evaluate the Performance of a Classification Model
2. Evaluate the Performance of a Regression Model
Quiz: Get Some Practice Evaluating Models for Spam Filtering

Part 3 - Improve the Performance of a Machine Learning Model
1. Improve Your Feature Selection
2. Resample your Model with Cross-Validation
3. Tune your Hyperparameters
4. Improve your Regression with Regularization
Quiz: Get Some Practice Improving a Model

Certificate

Llewelyn Fernandes
Founder of Think Create Learn (@tcreatelearn), helping young people and career changers build skills in data, AI, robotics, and programming.