# Machine Learning - [Handling Imbalanced Dataset](https://gautamnaik1994.gitbook.io/snippets/machine-learning/handling-imbalanced-dataset.md) - [Time Series Forecasting](https://gautamnaik1994.gitbook.io/snippets/machine-learning/time-series-forecasting.md) - [Hierarchical Time Series Forecasting](https://gautamnaik1994.gitbook.io/snippets/machine-learning/time-series-forecasting/hierarchical-time-series-forecasting.md) - [Facebook Prophet](https://gautamnaik1994.gitbook.io/snippets/machine-learning/time-series-forecasting/facebook-prophet.md) - [Misc](https://gautamnaik1994.gitbook.io/snippets/machine-learning/time-series-forecasting/misc.md) - [Handling high dimensionality data](https://gautamnaik1994.gitbook.io/snippets/machine-learning/handling-high-dimensionality-data.md) - [Weight of evidence and Information value](https://gautamnaik1994.gitbook.io/snippets/machine-learning/handling-high-dimensionality-data/weight-of-evidence-and-information-value.md) - [Debugging ML Models](https://gautamnaik1994.gitbook.io/snippets/machine-learning/debugging-ml-models.md) - [Feature Engineering](https://gautamnaik1994.gitbook.io/snippets/machine-learning/feature-engineering.md) - [Time Series](https://gautamnaik1994.gitbook.io/snippets/machine-learning/feature-engineering/time-series.md) - [Outlier Detection](https://gautamnaik1994.gitbook.io/snippets/machine-learning/feature-engineering/outlier-detection.md) - [Categorical Encoding](https://gautamnaik1994.gitbook.io/snippets/machine-learning/feature-engineering/categorical-encoding.md) - [Feature Scaling](https://gautamnaik1994.gitbook.io/snippets/machine-learning/feature-engineering/feature-scaling.md) --- # Agent Instructions: Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter: ``` GET https://gautamnaik1994.gitbook.io/snippets/machine-learning.md?ask= ``` The question should be specific, self-contained, and written in natural language. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.