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Identify common machine learning problems. Evaluate and improve them with feature selection, cross-validation, hyperparameter tuning and regularization.
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
Founder of Think Create Learn (@tcreatelearn), helping young people and career changers build skills in data, AI, robotics, and programming.
OpenClassrooms (formerly Le site du Zéro or SdZ) is a website that offers courses about computer science and entrepreneurship. Online courses can be made both by site staff, professors of universities or colleges partner as by its members.
Today, courses are available in several formats: MOOC (Massive Open Online Course), web text, e-book, book and video. The company delivers certifications for certain courses, including one recognized by the state in partnership with IESA multimedia.