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Maheswar Barrenkala

Maheswar Barrenkala

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Tier 3 / Machine learning

Stock Market Prediction System using LSTM

A time-series proof of concept using historical market data, feature preparation, LSTM and machine-learning modeling, evaluation, and visualization.

Working applicationsource mapping pending

Time-series model pipeline

Choose a stage
01
History

Historical market data is the recorded starting input.

A source-based LSTM workflow, shown without an investment or performance claim.

A focused walkthrough based on the recorded project scope. It is not presented as a historical product screen.

The exact notebook, dataset range, baseline, leakage controls, and results remain pending; no investment or predictive-performance claim is made.

What the recorded work makes inspectable.

The recorded implementation focuses on Python, Pandas, NumPy, TensorFlow, Keras, LSTM. The project remains concise while keeping its technical boundary clear.

Source and implementation context.

Focus
Testing and validation
Recorded approach
Python · Pandas · NumPy · TensorFlow
Evidence
Python AI projects repository