Plan for the last week

• HW6.

• Neural network: practice.

• Overview of select machine learning topics: unsupervised learning, survival analysis, A/B testing, causal analysis, conformal prediction.

FAQs

• HW6: We can use XGBoost within Scikit-Learn. https://xgboost.readthedocs.io/en/stable/python/python_api.html#module-xgboost.sklearn

• HW6: Preparing time series data for RNN/LSTM. This tutorial can be helpful: https://keras.io/examples/timeseries/timeseries_weather_forecasting/.

Announcement

• HW6 is due Mar 24 @ 11:59pm. Start early; use Slack and office hours for questions.

• UCLA Synthetic Data Symposium: https://ucla-synthetic-data.github.io/. Apr 13-14, 2023.

• UCLA OARC Deep Learning Workshop Series (using PyTorch): https://github.com/huqy/deep_learning_workshops.

• Lazypredict by AutoML: https://pub.towardsai.net/lazypredict-run-all-sklearn-algorithms-with-a-line-of-code-29d73d82499c?gi=b6358d307457