💡[FEATURE]: Crypto Market Anomaly Detection

[aishikaranjan]

Is your feature request related to a problem? Please describe.
Yes, the feature is related to the problem of detecting anomalies in the cryptocurrency market. The volatile nature of cryptocurrencies makes it crucial to identify unusual patterns or changes that could indicate potential risks, fraudulent activities, or significant market events.

Describe the solution you'd like
Firstly, I would perform EDA to identify potential features for anomaly detection. Then preprocess the data and implement logistic regression model to establish a baseline and subsequently evaluate the model performance using metrics such as F1-score, confusion matrix, and classification report.

Describe alternatives you've considered
Multiple models can be combined. Ensemble techniques like Random Forests or Gradient Boosting can be used to handle complex relationships and improve the generalization.

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