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2:35:49
(HSMA 6 Day 22) 8A - Reproducible Reporting in Python with Quarto and xlsxwriter
3:37:30
(HSMA 6 Day 21) 7C Python Web Apps with Streamlit - Discrete Event Simulation and Advanced Streamlit
3:46:39
(HSMA 6 Day 20) 7B - An Introduction to Python Web Apps with Streamlit
4:08:09
(HSMA 6 Day 19) 7A - Version Control with Git and Github in VSCode
3:01:30
(HSMA 6 Day 18) 6C - Agent-Based Simulation with MESA
1:31:14
(HSMA 6 Day 17) 6A - System Dynamics
1:51:11
(HSMA 6 Day 17) 6B - An Introduction to Agent-Based Simulation
2:14:19
(HSMA 6 Day 16) 5D - NLP Hackathon
1:29:36
(HSMA 6 Day 15) 5C - Sentiment Analysis
1:58:13
(HSMA 6 Day 15) 5B - Named Entity Recognition
1:45:43
(HSMA 6 Day 14) 5A - Introduction to Natural Language Processing (NLP)
1:09:10
(HSMA 6 Day 14) 4J - Optimising ML: Imputation, Feature Engineering & Selection, Hyperparameters
1:18:17
(HSMA 6 Day 13) 4I - Synthetic Data using SMOTE
0:42:42
(HSMA 6 Day 12) 4G Part 5/6 - Explainable AI with SHAP
0:16:02
(HSMA 6 Day 12) 4G Part 6/6 - Prediction Uncertainty
1:51:00
(HSMA 6 Day 13) 4F Neural Networks
0:09:52
(HSMA 6 Day 12) HSMA Assessment Update
0:14:13
(HSMA 6 Day 13) 4G Part 3/6 - Feature Importance with MDI + PFI
0:09:10
(HSMA 6 Day 13) 4G Part 4/6 - Partial Dependence Plots and Individual Conditional Expectation Plots
0:21:01
(HSMA 6 Day 13) 4G Part 2/6 - Feature Importance in Logistic Regression & Odds/Log Odds/Probability
0:32:04
(HSMA 6 Day 13) 4G Part 1/6 - An Introduction to Explainable AI + Correlation vs Causality
0:33:23
(HSMA 6 Day 12) 4E Part 2/2 - Predicting Numeric Values with Tree-based Algorithms + OneHot encoding
0:51:25
(HSMA 6 Day 12) 4E Part 1/2 - Boosting Trees for Classification Problems
1:16:07
(HSMA 6 Day 12) 4D Part 1/2 - Decision Trees
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