AI Features
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Free Lessons (3)
Course Overview
Introduction
Introduction to Machine Learning
What Is Machine Learning?
The Machine Learning Process
What Is Scikit-Learn?
Importing Data with Scikit-Learn
Quiz: Introduction to Machine Learning
Coding Challenge: Importing Data
Solution: Importing Data
Preprocessing
Introduction to Preprocessing
Feature Extraction
Scaling
Discretizing
Encoding
Dimensionality Reduction
Imputation of Missing Values
Quiz: Preprocessing
Coding Challenge: Preprocessing
Solution: Preprocessing
Supervised Learning
Introduction to Supervised Learning
Linear Models
SVM
SGD
KNN
Decision Trees
Naive Bayes
Ensemble Methods
Quiz: Supervised Learning
Coding Challenge: Supervised Learning
Solution: Supervised Learning
Unsupervised Learning
Introduction to Unsupervised Learning
GMM
K-Means
DBSCAN
Hierarchical Clustering
Quiz: Unsupervised Learning
Coding Challenge: Unsupervised Learning
Solution: Unsupervised Learning
Model Evaluation
Introduction to Model Evaluation
Regression Metrics
Classification Metrics
Clustering Metrics
Basic Cross-Validation
Advanced Cross-Validation
Quiz: Model Evaluation
Coding Challenge: Model Evaluation
Solution: Model Evaluation
Project
How to Predict the Traffic Volume Using Machine Learning
Tips and Tricks
Introduction to Tips and Tricks
Pipelines
Baselines
Permutation Feature Importance
Model Persistence
Quiz: Tips and Tricks
Coding Challenge: Tips and Tricks
Solution: Tips and Tricks
Conclusion
Wrap Up
Project
Customer Segmentation with K-Means Clustering
Home
Courses
Scikit-Learn for Machine Learning
Solution: Importing Data
Follow the instructions for importing data from a CSV file.
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