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  • Language: Python​

  • Libraries: NumPy, Pandas, Matplotlib, Sklearn, Keras

  • Platform: Jupyter Notebook​

Stock Market Price Prediction

Purpose

Predict the closing stock price of a company based on the historical stock price data (stock volume, opening price, closing price, adjusted price and highest price) of the company.

Dataset

Past 5 year stock price trend data of NVDIA. The dataset contains 1259 instances of the stock price details

Applications

Tasks Done

Exploratory Data Analysis

Data Visualization

Data Normalization

Model Training & Testing

Model Evaluation

Models

LSTM Sequential Model

Discovering the future values of a company's stocks and other assets. Predicting stock prices helps in gaining significant profits.

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