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Challenge - Classification Prediction With Data Preprocessing

Logistic Regression

3 Lessons

Tackle logistic regression, preprocess data, and evaluate binary classification models.

Logistic Regression

Challenge - Classification of non-linear data

Support Vector Machine

3 Lessons

Practice using SVMs for classifying both linear and non-linear data effectively.

Support Vector Machine

Challenge - GBDT Parameter Fine-Tune

Tree Model and Ensemble Method

5 Lessons

Step through decision trees, gradient boosting, parameter tuning, and random forest models using Scikit-Learn.

Decision Tree

Gradient Boosting Tree

Challenge - Build a Neural Network and fine-tune it

Random Forest

Unsupervised Learning

2 Lessons

Look at key unsupervised learning techniques: K-means clustering and t-SNE for data visualization.

K-means Clustering

t-SNE

10.

Deep Learning

3 Lessons

Go hands-on with building and fine-tuning neural networks using Scikit-Learn's MLPClassifier.

Neural Network

KNN (K-Nearest Neighbors)

11.

Others

3 Lessons

Apply your skills to Naive Bayes classifiers and K-Nearest Neighbors for predictive modeling.

Naive Bayes

Quiz

12.

What's Next

1 Lessons

Deepen your knowledge of next steps in AI and recommended learning resources.

Where to Next?

Course Author

Neko Yan

Project

Create a Classical-Quantum KNN Classifier Using Qiskit

advanced

Project

Create a Classical-Quantum KNN Classifier Using Qiskit

Learn to implement a quantum KNN classifier using Qiskit, a leading quantum computing SDK, through quantum circuit design and simulation.

advanced

Recognize Emotions from Speech using Librosa

Project

advanced

Project

Recognize Emotions from Speech using Librosa

advanced

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