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ASELSAN Stock Prices

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Goal

The goal of this project is to create a ML model which will predict the stock prices.

Dataset

I have Downloaded this dataset from kaggle website. Here is the link: https://www.kaggle.com/datasets/zlemglsmklkaya/aselsan-stock-prices-20172022

What Have I Done?

  • Imported all the required libraries and dataset for this project.
  • Exploratory Data Analysis and Visualizing different aspects of the dataset.
  • Finding number of observations and outliers in the dataset.
  • Plotting different attributes of the dataset.
  • Creating the Model and Prediction of Price

Library used:

  1. numpy.
  2. pandas.
  3. matplotlib.
  4. seaborn.
  5. sklearn

Visualization and EDA of different attributes:

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Conclusion:

  • The variation of Opening Price of "ASELSAN" with Date is plotted.
  • Heatmap of "ASELSAN" is shown.
  • The decrease in opening price in 2018 to 2020 and the increase from 2020 to 2022 is plotted.
  • ASELSAN stock price prediction is done using ML Model.

Authors