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maachine-learning

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This project aims to provide an advanced and dynamic system for predicting stock prices and monitoring their movements in real-time. Utilizing various machine learning techniques and technical indicators, this system continuously updates itself with the latest stock market data and retrains its predictive models to ensure accuracy.

  • Updated Aug 1, 2024
  • Jupyter Notebook

This project aims to develop a machine learning model to predict bike-sharing demand based on various factors such as weather conditions, time of day, and historical usage patterns. The dataset used for this project consists of 8760 records and 14 attributes.

  • Updated Jun 15, 2023
  • Jupyter Notebook

Scrapping and Sentiments Analysis of Covid-19 data. This reserach show case the webscraping of COVID-19 Subvariant XBB.1.5 through twitter API. Secondly Sentiments analysis was carried out to check people's emotion on the variant of the COVID. form my analysis it was shown that people show or have more positive sentiments towards the virus .

  • Updated Mar 20, 2023
  • Jupyter Notebook

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