Previous Presentations and code 

2025-2026

Direct links to previous presentations

These links follow the embedded presentations in each school year from top to bottom. Open a presentation directly if the embedded viewer is difficult to use.

2025-2026

1. View Meeting 1 slides: Club introduction and AI basics (2025–26)

2. View Meeting 2 slides: Neural networks and regression (2025–26)

3. View Meeting 3 slides: Linear regression and loss (2025–26)

4. View Meeting 4 slides: Support vector machines for classification (2025–26)

5. View Meeting 5 slides: Model evaluation metrics and data quality (2025–26)

6. View Meeting 6 slides: Computer vision and image processing (2025–26)

7. View Meeting 7 slides: Convolutional neural networks and competitions (2025–26)

8. View Meeting 8 slides: Student AI projects and competitions (2025–26)

9. View Meeting 9 slides: Transformers and tokenization (2025–26)

10. View Meeting 10 slides: Transformers and the Wharton competition (2025–26)

11. View Meeting 11 slides: Wharton data science challenge (2025–26)

12. View Meeting 12 slides: Hockey data analysis for the Wharton competition (2025–26)

13. View Meeting 13 slides: Hockey power rankings for the Wharton competition (2025–26)

14. View Meeting 14 slides: AI as a Partner and student competitions (2025–26)

15. View Meeting 14 slides: AI as a Partner and student competitions (duplicate of Meeting 14) (2025–26)

16. View Meeting 16 slides: Student projects and Youth AI Festival (2025–26)

17. View Meeting 17 slides: Officer elections and project submissions (2025–26)

18. View Meeting 18 slides: Officer election voting (2025–26)

19. View Meeting 19 slides: Officer interviews and project presentations (2025–26)

2024-2025

1. View Meeting 1 slides: Club introduction and AI basics (2024–25)

2. View Meeting 2 slides: Regression and classification (2024–25)

3. View Meeting 3 slides: Neural networks and perceptrons (2024–25)

4. View Meeting 4 slides: Neural networks and convolutional networks (2024–25)

5. View Meeting 5 slides: Python review and nearest-neighbors project (2024–25)

6. View Meeting 6 slides: Pandas with Jupyter Notebook (2024–25)

7. View Meeting 7 slides: Computer vision and feature abstraction (2024–25)

8. View Meeting 8 slides: Building student AI projects (2024–25)

9. View Meeting 9 slides: Student project presentations (2024–25)

10. View Meeting 10 slides: Officer elections (2024–25)

2023-2024

1. View Meeting 1 slides: Club introduction and AI basics (2023–24)

2. View Meeting 2 slides: Regression and classification (2023–24)

3. View Meeting 3 slides: Training a machine learning model (2023–24)

4. View Meeting 4 slides: Neural networks (2023–24)

5. View Meeting 5 slides: Student project introduction (2023–24)

6. View Meeting 6 slides: Feature extraction and neural networks (2023–24)

7. View Meeting 7 slides: Computer vision and image classification (2023–24)

8. View Meeting 8 slides: Student projects and officer elections (2023–24)

9. View Meeting 9 slides: Student presentations and reinforcement learning (2023–24)

2022-2023

1. View club introduction slides (2022–23)

2. View Decision Trees lesson slides (2022–23)

3. View Random Forest lesson slides (2022–23)

4. View Linear Regression lesson slides (2022–23)

5. View Machine Learning Workflow lesson slides (2022–23)

6. View Introduction to Neural Networks slides (2022–23)

2021-2022

1. View Neural Networks lesson 1 slides (2021–22)

2. View Machine Learning Workflow slides (2021–22)

3. View The Alignment Problem slides (2021–22)

4. Read Regression lesson PDF (2021–22)

5. Read Neural Networks lesson PDF (2021–22)

6. Read Neural Networks, part 2 PDF (2021–22)

2020-2021

1. View Introduction to Machine Learning PowerPoint (2020–21)

2. View Training and Loss PowerPoint (2020–21)

3. View AI and Finance PowerPoint (2020–21)

4. View Gradient Descent PowerPoint (2020–21)

5. View Neural Networks and Other Machine Learning Concepts PowerPoint (2020–21)

6. View Chatbots presentation (2020–21)

7. View Second Semester Review PowerPoint (2020–21)

8. View AI and Social Media presentation (2020–21)

9. View Computer Vision and Medicine presentation (2020–21)

10. View Natural Language Processing presentation (2020–21)

2019-2020

1. View first AI Club information meeting slides (2019–20)

2. View Welcome to AI Club PowerPoint (2019–20)

3. View Machine Learning Terminology slides (2019–20)

4. View Linear Regression PowerPoint (2019–20)

5. View AI Ethics slides (2019–20)

6. View AI Ethics 2.0 slides (2019–20)

7. View Gradient Descent explanation PowerPoint (2019–20)

8. View Convolutional Neural Networks PowerPoint (2019–20)

9. View LSTMs and Recurrent Neural Networks slides (2019–20)

10. View Reinforcement Learning slides (2019–20)

2024-2025

2023-2024

2022-2023

11/11/22: Housing Prices notebook (Google Colab)

Housing prices training data (training_data_housing_prices.csv) 

10/7/22: Titanic notebook (Google Colab)

Titanic training data (train.csv) 

Titanic test data (test.csv)

2021-2022

Convolutional Neural Network 

2020-2021

Google Colab Tutorial (Colab notebook)

Advanced Colab Tutorial (Colab notebook)

House Prices Linear Regression (Colab notebook)

House Prices Data CSV (Google Drive file)

Neural Network For Stock Price Prediction (Colab notebook)

Financial Data CSV (Google Drive file)

Neural Network From Scratch (Colab notebook)

Fashion MNIST CNN (Colab notebook)

Fashion MNIST Answer Key (Colab notebook)

CIFAR-10 CNN (Colab notebook)

AI Club Project Section 1 (Colab notebook)

AI Club Project CSV (Google Drive file)

2019-2020

Linear Regression Tutorial (Colab notebook)

Machine Learning Concepts Tutorial: overfitting, underfitting, cross validation, polynomial regression (Colab notebook)

Convolutional Neural Network Tutorial (Colab notebook)

Vanilla Neural Network (Colab notebook)

Decision Trees (Colab notebook)

Natural Language Processing Demonstration (Colab notebook)

Template AI Club Project, part 1 (Colab notebook)

Template Text Generation (Colab notebook)