MindWave is an open-source project designed for beginners to learn about data science, machine learning, deep learning, and reinforcement learning algorithms using Python. The project offers a platform for implementing relevant algorithms, with open-source tools and libraries.
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Stock predicton using time series analysis and machine learning #694
Is your feature request related to a problem? Please describe.
There are a lot of means to earn money and stockinvestment is a majority choice with the number of people investing in stocks increasing progressively day on day. There is a lot of stock prediction done on day to day basis and people need to invest in stocks by the data trends seen in previous seasons and in order to get those insights easily and make meaningful investments forecasting and prediction are necessary.
Describe the solution you'd like
I would like to build a machine learning model and time series models like ARIMA that is used for forecasting and predicting stocks for future investment. I would also like to show visualization and trends for the stock data available.
Describe alternatives you've considered
Use a basic machine learning model to compare the results and accuracy of forecasting.
Additional context
Please assign this task to me under GSSOC '23
Code of Conduct
[X] I agree to follow this project's Code of Conduct
Is your feature request related to a problem? Please describe.
There are a lot of means to earn money and stock investment is a majority choice with the number of people investing in stocks increasing progressively day on day. There is a lot of stock prediction done on day to day basis and people need to invest in stocks by the data trends seen in previous seasons and in order to get those insights easily and make meaningful investments forecasting and prediction are necessary.
Describe the solution you'd like
I would like to build a machine learning model and time series models like ARIMA that is used for forecasting and predicting stocks for future investment. I would also like to show visualization and trends for the stock data available.
Describe alternatives you've considered
Use a basic machine learning model to compare the results and accuracy of forecasting.
Additional context
Please assign this task to me under GSSOC '23
Code of Conduct