Practicing ML by working on various projects. Involved in tasks such as dealing with imbalanced classification, regression using TensorFlow, and anomaly detection.
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Finance-Yahoo-LSTM: LSTM Autoencoder for anomaly detection in General Electric Company (GE) stocks closing prices historical data.
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Financial-Anomaly-Data: Detecting anomalies in a financial transactions dataset using isolation forests. Also attempted to generate my own synthetic dataset for better demonstration.
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Glass-Identification: Imbalanced classification of glass categories.
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Heart-Failure-Prediction: General ML practice.
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Tensorflow-Regression: Generating synthetic data with noise, then using TensorFlow to predict that noise.